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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
    11. 1802
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    Explanations

    negative connotations in discussions about people or situations

    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
    0:0.09
    1:0.03
    2:0.31
    3:0.13
    4:0.04
    5:0.07
    6:0.04
    7:0.08
    8:0.04
    9:0.04
    10:0.06
    11:0.02
    Negative Logits
    icip
    -2.94
     Garmin
    -2.73
    Interested
    -2.73
    ilater
    -2.69
     NAV
    -2.68
     coordinating
    -2.67
    ITNESS
    -2.67
    ocal
    -2.63
     Trails
    -2.63
     OFFIC
    -2.59
    POSITIVE LOGITS
     wretched
    4.96
     hideous
    4.95
     vile
    4.91
     disgusting
    4.79
     filthy
    4.67
     horrible
    4.66
     rotten
    4.64
     torment
    4.50
     misery
    4.50
     horrendous
    4.49
    Activations Density 0.528%

    No Known Activations