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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. 10-RES-JB
    11. 5817
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ECD
    -0.74
    steamapps
    -0.70
    illac
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    tre
    -0.69
    rosse
    -0.67
    Export
    -0.67
     weap
    -0.66
    allo
    -0.65
    rano
    -0.65
    rina
    -0.65
    POSITIVE LOGITS
    orial
    0.92
    posts
    0.89
     notices
    0.80
    andum
    0.79
    board
    0.76
     boards
    0.75
    lessness
    0.75
    boards
    0.74
    naires
    0.72
    fulness
    0.72
    Activations Density 0.028%

    No Known Activations