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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. 24078
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    INDEX
    Explanations

    mentions of editors or editorial positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of editors and their roles or titles

    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
    bley
    -0.83
    enegger
    -0.74
    pered
    -0.71
    ilitary
    -0.69
    ulus
    -0.67
    rises
    -0.66
    achi
    -0.63
    00200000
    -0.61
    ffff
    -0.61
    pering
    -0.60
    POSITIVE LOGITS
    ials
    1.39
    ially
    1.19
    iate
    0.83
    ial
    0.77
    editor
    0.77
    rors
    0.76
    hips
    0.75
    hip
    0.75
    ror
    0.74
    iola
    0.73
    Activations Density 0.029%

    No Known Activations