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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. 4-RES-JB
    11. 2291
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    Explanations

    references to sources or origins

    oai_token-act-pair · gpt-3.5-turbo

    references to sources of information or authority

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

    No Comments

    Negative Logits
    aeper
    -0.94
    awks
    -0.85
    ellen
    -0.84
    wagen
    -0.81
    paio
    -0.75
    Ħ¢
    -0.73
    creen
    -0.72
    ipop
    -0.71
    eer
    -0.70
    orks
    -0.70
    POSITIVE LOGITS
     source
    1.01
     sources
    0.98
    source
    0.98
    Fed
    0.92
    books
    0.86
    finding
    0.84
     Sources
    0.83
     sourcing
    0.82
    book
    0.77
     whence
    0.75
    Activations Density 0.022%

    No Known Activations