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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. 13617
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    Explanations

    references to movie titles within quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing quotation marks, indicating cited dialogue or titles

    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
     methodological
    -0.83
     disproportionately
    -0.83
     cler
    -0.82
     disciplinary
    -0.82
     grav
    -0.80
     scrambling
    -0.79
     delivery
    -0.79
     care
    -0.78
     expressed
    -0.77
     described
    -0.77
    POSITIVE LOGITS
    Operation
    1.35
    Morning
    1.34
    Friends
    1.30
    Untitled
    1.29
    Eat
    1.29
    Breaking
    1.29
    Happy
    1.28
    Dear
    1.28
    Everybody
    1.28
    Better
    1.27
    Activations Density 0.083%

    No Known Activations