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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9841
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    Explanations

    mentions of different types of whisk(e)y

    oai_token-act-pair · gpt-3.5-turbo

    references to whiskey and its varieties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rator
    -0.76
    fter
    -0.75
     Malays
    -0.73
    lez
    -0.70
    ULAR
    -0.70
    uders
    -0.70
    enance
    -0.69
     gears
    -0.67
    undai
    -0.67
     Pelosi
    -0.66
    POSITIVE LOGITS
     whiskey
    1.41
     Whis
    1.23
     whisky
    1.16
     bourbon
    1.05
     whis
    1.00
     Bourbon
    0.98
     Scotch
    0.97
     bour
    0.95
     rye
    0.90
    astery
    0.89
    Activations Density 0.017%

    No Known Activations