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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. 11-RES-JB
    11. 12231
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    INDEX
    Explanations

    specific point values or mentions in the context of competition or scores

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring or points in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.72
    gee
    -0.70
    uthor
    -0.69
    eatures
    -0.66
    ctors
    -0.65
    oidal
    -0.64
    OOL
    -0.64
    town
    -0.64
    osaurus
    -0.63
    details
    -0.61
    POSITIVE LOGITS
     deduction
    0.96
     apiece
    0.92
     deducted
    0.83
     separating
    0.76
     blank
    0.73
     deductions
    0.72
     scored
    0.72
    uable
    0.69
     difference
    0.69
    heet
    0.68
    Activations Density 0.034%

    No Known Activations