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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. 9-RES-JB
    6. 4753
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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 @ 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
    acerb
    -0.74
    ONSORED
    -0.72
    polit
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     presided
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    ridor
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     earnest
    -0.67
    USS
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    âĢİ
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     disillusion
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    egal
    -0.67
    POSITIVE LOGITS
     you
    0.99
     if
    0.94
     whenever
    0.92
     depending
    0.92
     Users
    0.90
     Suppose
    0.90
     disabling
    0.89
     lets
    0.89
     storing
    0.89
    allows
    0.89
    Activations Density 0.428%

    No Known Activations