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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. 10-RES-JB
    11. 6038
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    Explanations

    numerical figures or codes mixed within text

    oai_token-act-pair · gpt-3.5-turbo

    numbers and location identifiers related to events or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworld
    -0.74
    assetsadobe
    -0.72
     runaway
    -0.72
    eworks
    -0.68
    rontal
    -0.67
    stood
    -0.67
    ront
    -0.66
    ',"
    -0.66
    76561
    -0.64
     humanities
    -0.63
    POSITIVE LOGITS
    *
    2.69
     *
    2.60
    **
    2.30
    *)
    2.12
    )*
    2.10
     **
    2.06
    */
    2.06
    *,
    2.06
    *.
    2.04
    ***
    1.89
    Activations Density 0.080%

    No Known Activations