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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. 11-RES-JB
    11. 302
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    Explanations

    words related to progress or improvement

    oai_token-act-pair · gpt-3.5-turbo

    linguistic structures related to speech or communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    orian
    -0.68
    nyder
    -0.65
    nik
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    iewicz
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    lav
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    anian
    -0.63
    iami
    -0.62
    icago
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    uminati
    -0.61
     endorsements
    -0.61
    POSITIVE LOGITS
    ered
    0.95
    assed
    0.92
    pered
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    0.82
    ciating
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    pped
    0.80
    lled
    0.79
    enced
    0.77
    BLE
    0.76
    Activations Density 0.090%

    No Known Activations