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

    references to alcohol consumption, specifically instances of drunkenness

    oai_token-act-pair · gpt-3.5-turbo

    references to intoxication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.78
    akeru
    -0.77
     Flavoring
    -0.76
    ":["
    -0.72
    AUT
    -0.69
    adr
    -0.68
     JPM
    -0.68
    EVA
    -0.66
    DIR
    -0.66
    DonaldTrump
    -0.65
    POSITIVE LOGITS
     drunk
    1.19
     underage
    0.94
     drinking
    0.91
     binge
    0.86
    bott
    0.85
     drinkers
    0.84
     alcohol
    0.82
     drunken
    0.81
    ards
    0.81
     drink
    0.78
    Activations Density 0.010%

    No Known Activations