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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of alcoholic beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to alcoholic beverages or drinking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sharif
    -0.66
    REM
    -0.63
     Postal
    -0.63
     Brach
    -0.60
    ural
    -0.59
    merce
    -0.59
    compl
    -0.58
     Shant
    -0.58
     router
    -0.57
    roe
    -0.57
    POSITIVE LOGITS
    cohol
    1.16
     drinkers
    1.14
     Drink
    1.14
     drink
    1.06
     beverages
    1.01
     bottles
    0.99
     drinks
    0.98
     beverage
    0.95
    bott
    0.92
     alcohol
    0.91
    Activations Density 0.018%

    No Known Activations