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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. 8-RES-JB
    11. 9875
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    Explanations

    phrases describing different processes or methods

    oai_token-act-pair · gpt-3.5-turbo

    phrases and structures indicating conditional or explanatory relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    swick
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    inventoryQuantity
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    still
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    ãĤ®
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    ascus
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    -0.67
    wow
    -0.65
    FLAG
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    gur
    -0.63
     Codex
    -0.63
    POSITIVE LOGITS
     whenever
    0.87
     Suppose
    0.85
     whereby
    0.83
     suppose
    0.81
    users
    0.80
     successive
    0.79
     users
    0.79
     individuals
    0.74
     nodes
    0.74
     alternating
    0.72
    Activations Density 0.654%

    No Known Activations