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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. 7-RES-JB
    11. 7849
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions of limitation or constraint

    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
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    Negative Logits
     Windsor
    -0.62
     Lyons
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     asbestos
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     absentee
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     logistical
    -0.51
     Schedule
    -0.50
     Howell
    -0.49
     Dover
    -0.49
     consultant
    -0.49
     Tut
    -0.48
    POSITIVE LOGITS
     ðŁij
    0.82
     fuckin
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    0.78
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    [/
    0.72
     FUCK
    0.71
     ðŁĺ
    0.70
    âĿ
    0.70
    Activations Density 2.084%

    No Known Activations