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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. 9-RES-JB
    11. 24140
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    INDEX
    Explanations

    medical conditions and procedures

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss complex relationships and societal issues

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    efeated
    -0.61
    iquid
    -0.59
     vigilance
    -0.56
    aples
    -0.55
    avis
    -0.55
     overcoming
    -0.54
     nowhere
    -0.52
     unregulated
    -0.51
     irrespective
    -0.51
     unpop
    -0.51
    POSITIVE LOGITS
     entails
    1.30
     entail
    1.11
    really
    0.91
     meant
    0.90
     Means
    0.88
     looks
    0.87
     means
    0.85
     REALLY
    0.82
    pires
    0.80
     mean
    0.79
    Activations Density 0.270%

    No Known Activations