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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. 3058
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences ending with periods

    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
     cradle
    -0.76
     challeng
    -0.75
     temples
    -0.74
     artisan
    -0.73
     stubborn
    -0.69
     patriot
    -0.67
     fragile
    -0.66
     neglected
    -0.66
     fledgling
    -0.65
     recomm
    -0.65
    POSITIVE LOGITS
    jpg
    1.05
    assetsadobe
    1.00
     Originally
    0.96
    twitter
    0.91
    png
    0.91
    soType
    0.89
     Retrieved
    0.89
     [+
    0.88
    dds
    0.84
    ajor
    0.83
    Activations Density 0.090%

    No Known Activations