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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. 20240
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    INDEX
    Explanations

    declarative statements expressing a fact or a belief

    oai_token-act-pair · gpt-3.5-turbo

    affirmations or assertions about truth or conclusions

    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
    Exit
    -0.73
     Pastebin
    -0.71
    inventoryQuantity
    -0.69
    apeake
    -0.69
    ciating
    -0.64
    ibur
    -0.64
    tesy
    -0.62
    bang
    -0.61
    pedia
    -0.61
    abouts
    -0.60
    POSITIVE LOGITS
     that
    1.04
     moreover
    1.01
     furthermore
    0.92
    that
    0.88
     persu
    0.78
     affirmative
    0.73
     therefore
    0.72
     however
    0.70
     passionately
    0.70
     convinc
    0.69
    Activations Density 0.498%

    No Known Activations