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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. 3-RES-JB
    11. 12528
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     lifes
    -0.77
     butterflies
    -0.73
     advoc
    -0.72
    ¬¼
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     recognised
    -0.71
     obser
    -0.70
     basil
    -0.69
     cons
    -0.69
     drain
    -0.68
     protective
    -0.68
    POSITIVE LOGITS
    _-
    0.88
    âĸº
    0.78
    ––
    0.75
    why
    0.73
    gpu
    0.73
    Fel
    0.72
    BUT
    0.72
    ->
    0.72
    yes
    0.71
     WATCHED
    0.71
    Activations Density 0.034%

    No Known Activations