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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. 8657
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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
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    anamo
    -0.65
    /"
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    Keefe
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    ãĥ¼ãĥ³
    -0.58
     beforehand
    -0.57
     Clarkson
    -0.56
     Azerb
    -0.56
    —"
    -0.54
    edIn
    -0.54
    POSITIVE LOGITS
     greatest
    0.74
    resa
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     longest
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    0.69
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    odore
    0.68
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    0.68
    Activations Density 0.089%

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