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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
    11. 24046
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    INDEX
    Explanations

    negative aspects or critiques related to films and their production

    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
    0:0.12
    1:0.01
    2:0.08
    3:0.15
    4:0.03
    5:0.35
    6:0.02
    7:0.04
    8:0.07
    9:0.02
    10:0.03
    11:0.02
    Negative Logits
    Film
    -3.00
    DVD
    -2.98
     Film
    -2.96
     Cinema
    -2.88
    Studio
    -2.87
     Cinem
    -2.87
     DVDs
    -2.82
     DVD
    -2.74
     MPEG
    -2.67
     productions
    -2.65
    POSITIVE LOGITS
     robber
    2.89
     thief
    2.55
     policeman
    2.52
     kidnapping
    2.35
     burgl
    2.33
     detective
    2.31
    criminal
    2.28
     robbers
    2.27
    police
    2.23
     burglary
    2.19
    Activations Density 1.000%

    No Known Activations