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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. 6-RES-JB
    11. 24480
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tyr
    -0.76
     ber
    -0.70
    itory
    -0.69
     scourge
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    abouts
    -0.61
     bay
    -0.60
     subdued
    -0.60
    hall
    -0.59
    poral
    -0.59
     heav
    -0.59
    POSITIVE LOGITS
     Finally
    1.11
     Lastly
    1.09
     Eventually
    1.07
     Ultimately
    1.06
     Meanwhile
    0.99
     Moreover
    0.99
     Consequently
    0.96
     Nonetheless
    0.95
     Fortunately
    0.95
     Otherwise
    0.95
    Activations Density 0.855%

    No Known Activations