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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. 4-RES-JB
    11. 9499
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    Explanations

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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cha
    -0.71
    arer
    -0.71
    thur
    -0.70
     facult
    -0.70
     mosqu
    -0.69
     metic
    -0.66
    urer
    -0.66
     favourites
    -0.63
     estates
    -0.62
     pillar
    -0.62
    POSITIVE LOGITS
    tumblr
    0.94
     Asked
    0.90
    /"
    0.87
    Attempts
    0.86
     Meanwhile
    0.83
     Apparently
    0.83
     Accordingly
    0.82
     Those
    0.82
     Presumably
    0.79
     Somehow
    0.78
    Activations Density 0.090%

    No Known Activations