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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. 0-RES-JB
    11. 15429
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    Explanations

    references to documentation or written materials

    oai_token-act-pair · gpt-3.5-turbo

    references to documents or articles, particularly academic or journalistic papers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    û
    -0.79
     Ranked
    -0.77
    aren
    -0.72
    bh
    -0.69
    lement
    -0.67
     Host
    -0.66
    irst
    -0.65
    alth
    -0.64
    kind
    -0.63
    twitch
    -0.62
    POSITIVE LOGITS
     papers
    4.10
     Papers
    2.55
    papers
    2.39
     paper
    2.11
     newspapers
    2.01
     publications
    1.88
     documents
    1.88
     journals
    1.82
    Paper
    1.77
     manuscripts
    1.66
    Activations Density 0.016%

    No Known Activations