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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. 4984
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and data points related to statistics and resources

    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
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    No Comments

    Negative Logits
     Beir
    -0.73
    ë
    -0.61
     Alma
    -0.56
     van
    -0.54
     exting
    -0.54
    assion
    -0.53
    wine
    -0.52
     Burr
    -0.52
    abetic
    -0.52
    MU
    -0.51
    POSITIVE LOGITS
    rawdownloadcloneembedreportprint
    0.76
    odore
    0.72
    Synopsis
    0.64
    iband
    0.60
    owship
    0.57
     Centers
    0.57
    RAW
    0.57
     ].
    0.56
     Effective
    0.55
     Pediatrics
    0.55
    Activations Density 0.096%

    No Known Activations