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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. 9-RES-JB
    11. 1496
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iott
    -0.84
    uct
    -0.73
    elsen
    -0.68
    vet
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    lins
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    law
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    orne
    -0.67
    doms
    -0.67
    iction
    -0.67
    onsense
    -0.66
    POSITIVE LOGITS
    reenshot
    0.98
    ARY
    0.85
    reenshots
    0.81
     screenshots
    0.78
     thereof
    0.77
     screenshot
    0.76
    ary
    0.74
     Mehran
    0.73
    SHARE
    0.72
    ################
    0.70
    Activations Density 0.121%

    No Known Activations