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    2. Under Peer Review · Attention SAE Research Paper
    3. GPT2-Small
    4. Attention Out
    5. 9-ATT-KK
    6. 2
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    INDEX
    Explanations

    references to military technology and weaponry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    quantities and measures related to weapons and military force

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    attends to weapon-related tokens (like "firearms", "weapons", "guns", "arms") from subsequent prepositions or conjunctions (like "of", "and", "or").

    oai_attention-head · claude-3-5-sonnet-20240620Triggered by @danielepoterti
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L9_Hcat_z_lr1.20e-03_l11.20e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.9.attn.hook_z
    Hook Layer
    9
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.04
    1:0.02
    2:0.12
    3:0.13
    4:0.03
    5:0.09
    6:0.03
    7:0.28
    8:0.12
    9:0.02
    10:0.06
    11:0.01
    Negative Logits
    idth
    -2.28
    {{
    -2.20
    athom
    -2.18
    oward
    -2.13
     Shoals
    -2.10
    antha
    -2.08
     Peak
    -2.06
    icip
    -2.06
     +/-
    -2.02
     Happ
    -1.98
    POSITIVE LOGITS
     ammunition
    2.76
     grenades
    2.74
    IED
    2.67
    Medic
    2.66
     grenade
    2.66
     camouflage
    2.59
     medic
    2.55
    HUD
    2.55
     ammo
    2.46
    azine
    2.42
    Activations Density 0.046%

    No Known Activations