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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 2-ATT-KK
    11. 22922
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    Explanations

    numbers closely associated with incidents or casualties

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to fatalities and injuries, particularly in a violent context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.05
    1:0.02
    2:0.23
    3:0.09
    4:0.02
    5:0.07
    6:0.02
    7:0.02
    8:0.22
    9:0.14
    10:0.04
    11:0.01
    Negative Logits
    ��
    -1.72
    ellar
    -1.45
    uctor
    -1.37
    apter
    -1.32
    Sensor
    -1.29
    soDeliveryDate
    -1.28
    soType
    -1.28
    auld
    -1.27
    eller
    -1.26
    amic
    -1.25
    POSITIVE LOGITS
     Otto
    1.29
    auga
    1.23
     Slov
    1.20
     Cambodia
    1.18
     Teresa
    1.15
     Mob
    1.14
     Bie
    1.13
     Oro
    1.12
     Reck
    1.11
     Brune
    1.10
    Activations Density 0.032%

    No Known Activations