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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. 0-RES-JB
    11. 5764
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    atum
    -0.69
     fork
    -0.69
     exchange
    -0.67
     sucker
    -0.65
     clip
    -0.64
    ogen
    -0.64
    mitter
    -0.63
    uum
    -0.63
    ooked
    -0.62
    mix
    -0.62
    POSITIVE LOGITS
     accomplishments
    2.91
     achievements
    2.88
     successes
    2.80
     victories
    2.44
     failures
    1.97
     Achievements
    1.85
     milestones
    1.74
     feats
    1.66
     setbacks
    1.62
     inventions
    1.57
    Activations Density 0.032%

    No Known Activations