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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. 19599
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    Explanations

    timestamps or technical information

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols often used in data formatting or coding

    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
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    No Comments

    Negative Logits
    Pitt
    -0.89
    bledon
    -0.85
    paralleled
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    cour
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    polit
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    æ©
    -0.82
    rising
    -0.80
    ciplinary
    -0.78
    pen
    -0.77
    tube
    -0.76
    POSITIVE LOGITS
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    1.14
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    1.13
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    1.12
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    1.09
     =================
    1.04
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    1.02
     Warning
    0.99
     WARNING
    0.94
     ----------------
    0.93
     ------
    0.89
    Activations Density 0.059%

    No Known Activations