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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. 7-RES-JB
    11. 9852
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to contractual terms and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    OWN
    -0.71
    illard
    -0.69
     Volks
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    alach
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    OTS
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    riad
    -0.64
    stanbul
    -0.63
    ¥ŀ
    -0.62
    isol
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    INO
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    POSITIVE LOGITS
    cale
    0.96
    pring
    0.92
    heet
    0.88
    paced
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    paces
    0.87
    abl
    0.84
    hips
    0.84
    pace
    0.83
    hift
    0.83
    ually
    0.82
    Activations Density 0.023%

    No Known Activations