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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. 17415
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentages or statistical values related to data and metrics

    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
    stood
    -0.61
    flies
    -0.60
    rities
    -0.59
    zie
    -0.58
    beit
    -0.58
    ,
    -0.58
    pecially
    -0.58
    tainment
    -0.57
    ness
    -0.57
    vised
    -0.56
    POSITIVE LOGITS
    +.
    0.90
    +)
    0.77
     ABV
    0.77
    -+
    0.71
    +,
    0.71
    ==
    0.68
    xual
    0.67
    +
    0.66
    OF
    0.66
    /+
    0.65
    Activations Density 0.056%

    No Known Activations