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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. 520
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    Explanations

    words related to theft or stolen items

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating origins or sources

    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
    ratulations
    -0.87
    wcs
    -0.81
    ascript
    -0.79
    anim
    -0.75
    merce
    -0.75
    ilater
    -0.73
    retty
    -0.73
    endiary
    -0.73
    hler
    -0.73
    interstitial
    -0.72
    POSITIVE LOGITS
     afar
    1.04
     whence
    0.92
     abroad
    0.87
     thence
    0.85
     somewhere
    0.81
     obscurity
    0.80
     Palest
    0.80
     Lerner
    0.73
     shelves
    0.71
     rooft
    0.71
    Activations Density 0.134%

    No Known Activations