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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. 9-RES-JB
    11. 3044
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    Explanations

    references to a specific location - Hamilton

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Hamilton" in various contexts

    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
    lihood
    -0.90
    ramid
    -0.78
    scription
    -0.72
    gger
    -0.72
    eker
    -0.69
    rations
    -0.68
    zee
    -0.65
    isSpecialOrderable
    -0.65
    erred
    -0.65
    recy
    -0.64
    POSITIVE LOGITS
    pton
    0.91
    enburg
    0.79
    igans
    0.78
    ians
    0.73
     Strait
    0.73
    Hamilton
    0.72
     Heights
    0.71
    igan
    0.70
     County
    0.70
    shire
    0.70
    Activations Density 0.045%

    No Known Activations