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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. 8-RES-JB
    11. 8567
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    Explanations

    numerical figures or statistics mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to figures or percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.86
    assies
    -0.73
     orient
    -0.69
    ipher
    -0.65
    heny
    -0.64
    oard
    -0.63
    ovie
    -0.63
     Particip
    -0.62
     Flavoring
    -0.62
     prolet
    -0.61
    POSITIVE LOGITS
     estimates
    0.94
     totaled
    0.92
     exceeded
    0.88
     tallied
    0.88
     exceeds
    0.88
     excludes
    0.88
     varies
    0.87
     averages
    0.87
     estimate
    0.84
     totals
    0.83
    Activations Density 0.113%

    No Known Activations