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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. 6-RES-JB
    11. 11734
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    Explanations

    mentions of professional associations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various associations and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tsky
    -0.72
    pher
    -0.67
     piety
    -0.67
     Diesel
    -0.66
    warts
    -0.63
     corridors
    -0.62
    velt
    -0.60
    bilt
    -0.60
    iday
    -0.60
    ickr
    -0.59
    POSITIVE LOGITS
    ailability
    0.83
    ña
    0.82
    senal
    0.76
    ãĥīãĥ©
    0.71
    ubi
    0.69
    Lago
    0.68
    REDACTED
    0.67
    rentice
    0.65
    pas
    0.63
    ãĥ¯
    0.62
    Activations Density 0.369%

    No Known Activations