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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. 4-RES-JB
    11. 3997
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    INDEX
    Explanations

    key information or insights mentioned in reports or documents

    oai_token-act-pair · gpt-3.5-turbo

    references to reports or notes in the text

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

    No Comments

    Negative Logits
    namese
    -0.66
    thood
    -0.65
     advoc
    -0.64
    ãĥĩ
    -0.63
    LOS
    -0.63
     waged
    -0.62
    ciating
    -0.62
     collided
    -0.61
    unte
    -0.60
    izons
    -0.60
    POSITIVE LOGITS
    notes
    0.87
     Notes
    0.84
    books
    0.84
    ocamp
    0.83
     notes
    0.81
    book
    0.73
     Gained
    0.72
    iewicz
    0.70
    ense
    0.70
     note
    0.69
    Activations Density 0.018%

    No Known Activations