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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. 11970
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    Explanations

    simple answers or statements

    oai_token-act-pair · gpt-3.5-turbo

    the term "simple" in various contexts

    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
     largeDownload
    -0.80
    raints
    -0.78
    vance
    -0.74
    hips
    -0.73
     extensively
    -0.71
    ingle
    -0.68
    igham
    -0.68
     vigorously
    -0.68
    inburgh
    -0.66
    hovah
    -0.65
    POSITIVE LOGITS
    tons
    1.25
    minded
    0.97
    wallet
    0.94
    ton
    0.85
     arithmetic
    0.83
    json
    0.82
    ified
    0.80
     syrup
    0.79
     minded
    0.79
    ured
    0.77
    Activations Density 0.029%

    No Known Activations