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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. 4789
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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
    Not in Any Lists

    No Comments

    Negative Logits
    aroo
    -0.75
    umbered
    -0.71
    amaru
    -0.70
    Journal
    -0.65
     continents
    -0.65
    oday
    -0.64
    Ĭ±
    -0.64
    gnu
    -0.63
    azar
    -0.61
    Qaida
    -0.61
    POSITIVE LOGITS
     urgently
    0.82
     upkeep
    0.77
     discern
    0.74
     HELP
    0.71
     manpower
    0.71
     ASAP
    0.70
     verification
    0.70
     rethink
    0.70
     perman
    0.69
     patience
    0.69
    Activations Density 0.279%

    No Known Activations