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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. 10-RES-JB
    11. 23223
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    Explanations

    dates in the format of 'year'

    oai_token-act-pair · gpt-3.5-turbo

    specific years from the 1800s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alyst
    -0.71
     Nanto
    -0.67
     fert
    -0.65
    EStream
    -0.64
    EStreamFrame
    -0.63
    uyomi
    -0.61
    Downloadha
    -0.58
     echo
    -0.57
    utsche
    -0.57
    vernment
    -0.57
    POSITIVE LOGITS
    87
    1.32
    92
    1.32
    84
    1.31
    94
    1.29
    91
    1.29
    82
    1.28
    85
    1.27
    81
    1.27
    83
    1.26
    71
    1.24
    Activations Density 0.020%

    No Known Activations