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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. 24334
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that inquire about knowledge or understanding

    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
    enture
    -0.70
    vertisement
    -0.69
    UX
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    acon
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    quel
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    swick
    -0.62
    quished
    -0.62
    Reader
    -0.61
    hement
    -0.61
    luster
    -0.60
    POSITIVE LOGITS
    ById
    0.68
    ripp
    0.68
     ropes
    0.67
     theorem
    0.60
    tera
    0.60
     Thrust
    0.59
     jung
    0.59
     exactly
    0.58
     ì
    0.57
     basics
    0.56
    Activations Density 0.105%

    No Known Activations