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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. 808
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    INDEX
    Explanations

    expressions conveying surprise or realization

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing levels of realization or understanding

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.67
    UME
    -0.64
    iculture
    -0.64
    advertisement
    -0.61
     Supplement
    -0.61
    holder
    -0.61
    ograph
    -0.60
     ........
    -0.60
    UM
    -0.60
    inian
    -0.59
    POSITIVE LOGITS
     much
    1.11
    ls
    0.99
    beit
    0.95
     prevalent
    0.91
     far
    0.91
     resilient
    0.91
     MUCH
    0.91
    itzer
    0.89
     messed
    0.87
     badly
    0.85
    Activations Density 0.089%

    No Known Activations