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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. 4-RES-JB
    11. 10160
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    CHO
    -0.74
    aden
    -0.72
    GGGGGGGG
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     Valhalla
    -0.69
    atos
    -0.69
    thin
    -0.67
    EMOTE
    -0.67
    doms
    -0.66
    cheon
    -0.65
    agine
    -0.63
    POSITIVE LOGITS
    ives
    1.00
     answers
    0.81
    orate
    0.80
    eous
    0.80
     spelling
    0.80
     guiActiveUn
    0.79
    ible
    0.79
    fully
    0.78
    ibly
    0.78
    ively
    0.77
    Activations Density 0.017%

    No Known Activations