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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8519
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    Explanations

    terms related to numerical values and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and references to statistics or measurable quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autions
    -0.78
    linger
    -0.76
    ãĥĻ
    -0.73
    pret
    -0.72
    ãģĨ
    -0.72
     teasp
    -0.72
    omen
    -0.66
    apter
    -0.66
    escription
    -0.66
    ETA
    -0.66
    POSITIVE LOGITS
     NYC
    0.58
     Cyn
    0.57
     NSW
    0.56
     Newtown
    0.54
     DOI
    0.52
     kWh
    0.52
     Bots
    0.52
     LW
    0.52
     Organic
    0.51
     multi
    0.51
    Activations Density 1.564%

    No Known Activations