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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. 6653
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    naire
    -0.69
    oji
    -0.64
    [/
    -0.58
    ibling
    -0.57
    ilion
    -0.56
    ajo
    -0.55
     distingu
    -0.54
    angs
    -0.54
     arrang
    -0.53
    ss
    -0.53
    POSITIVE LOGITS
     our
    0.65
    cloneembedreportprint
    0.62
     Slate
    0.61
    isode
    0.60
    riter
    0.60
     Pact
    0.59
     smarter
    0.58
     occasional
    0.55
     Random
    0.54
    interstitial
    0.54
    Activations Density 0.031%

    No Known Activations