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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. 2614
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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 @ 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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    No Comments

    Negative Logits
    tein
    -0.75
     Canaver
    -0.67
    ãĥ£
    -0.65
     phys
    -0.61
    ãĥ¼ãĥĨãĤ£
    -0.61
    ussed
    -0.60
    olid
    -0.59
     retracted
    -0.59
    uvian
    -0.58
    deal
    -0.57
    POSITIVE LOGITS
    fulness
    0.93
     efforts
    0.73
     regarding
    0.69
    !
    0.69
     helping
    0.68
     :)
    0.68
     responsibly
    0.67
     nominate
    0.65
    .>>
    0.65
     ðŁĻĤ
    0.64
    Activations Density 0.148%

    No Known Activations