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

    references to incidents involving crime and law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    0:0.06
    1:0.01
    2:0.04
    3:0.25
    4:0.03
    5:0.08
    6:0.01
    7:0.06
    8:0.03
    9:0.01
    10:0.34
    11:0.02
    Negative Logits
     Contributions
    -2.40
    lihood
    -2.12
     Cases
    -2.11
     acknowled
    -2.00
    positive
    -2.00
     Contracts
    -1.95
    iability
    -1.92
     Tradable
    -1.92
     estimation
    -1.91
    isSpecialOrderable
    -1.90
    POSITIVE LOGITS
     snipers
    2.30
     thugs
    2.21
    razen
    2.13
     crowd
    2.06
     gunmen
    2.01
    quished
    2.00
    ardless
    1.99
     Klux
    1.96
     masked
    1.91
     during
    1.91
    Activations Density 0.087%

    No Known Activations