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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. 11-RES-JB
    11. 21121
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    Explanations

    dates in the 1800s

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the year "18" followed by various digits, indicating historical dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     satell
    -0.74
    uyomi
    -0.73
    alyst
    -0.67
     srf
    -0.65
     neighb
    -0.63
     helicop
    -0.63
    ļéĨĴ
    -0.63
     nomine
    -0.62
     nodd
    -0.61
    EStreamFrame
    -0.58
    POSITIVE LOGITS
    87
    1.47
    84
    1.46
    91
    1.46
    81
    1.45
    83
    1.45
    82
    1.45
    71
    1.44
    92
    1.44
    85
    1.44
    59
    1.43
    Activations Density 0.025%

    No Known Activations