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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. 9-RES-JB
    11. 17091
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    Explanations

    numerical values, such as quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical quantities and ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Caption
    -0.66
     Elections
    -0.62
    lected
    -0.58
     Doodle
    -0.57
     Sullivan
    -0.57
     Lie
    -0.55
     Bashar
    -0.55
     Pearson
    -0.54
     Lawson
    -0.54
     visibly
    -0.53
    POSITIVE LOGITS
    -$
    1.21
    +.
    1.05
    dozen
    1.02
    depending
    0.89
     depending
    0.87
    /$
    0.82
    $.
    0.82
     ballpark
    0.79
    +,
    0.78
    yip
    0.78
    Activations Density 0.387%

    No Known Activations