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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. 8-RES-JB
    11. 12961
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    INDEX
    Explanations

    phrases indicating a specific reason or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reasoning or justification

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Cosponsors
    -0.87
    til
    -0.78
    iste
    -0.75
    marked
    -0.74
    quartered
    -0.70
    ned
    -0.70
    igue
    -0.69
    falls
    -0.68
    ledged
    -0.66
    maker
    -0.63
    POSITIVE LOGITS
     preserving
    1.16
     avoiding
    1.01
     protecting
    0.98
     keeping
    0.95
     maintaining
    0.87
     preventing
    0.85
     sanity
    0.84
     fairness
    0.82
     decency
    0.80
     achieving
    0.79
    Activations Density 0.088%

    No Known Activations