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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. 9-RES-JB
    11. 8757
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    Explanations

    specific years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and data related to financial or economic metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     masc
    -0.69
     cha
    -0.67
     abras
    -0.67
     bluff
    -0.65
     barric
    -0.63
     icy
    -0.61
     ledge
    -0.60
    apixel
    -0.60
     itch
    -0.60
     zipper
    -0.59
    POSITIVE LOGITS
    -'
    1.07
     alone
    1.03
     dollars
    0.91
     compared
    0.84
    adjusted
    0.84
     onwards
    0.82
     Dollars
    0.78
    regate
    0.77
     Census
    0.77
     GDP
    0.75
    Activations Density 0.156%

    No Known Activations