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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 9134
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brus
    -0.65
    ieri
    -0.64
     CFL
    -0.64
     Maxim
    -0.63
     Strongh
    -0.62
     Benn
    -0.60
     Cthulhu
    -0.59
     Pug
    -0.59
     HTC
    -0.58
     Barbar
    -0.57
    POSITIVE LOGITS
    rawdownloadcloneembedreportprint
    0.98
    vernment
    0.83
    Reviewer
    0.77
    Synopsis
    0.73
    ibrary
    0.69
    nces
    0.69
    skirts
    0.67
    bishop
    0.66
    leon
    0.66
    inary
    0.65
    Activations Density 0.557%

    No Known Activations