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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. 14021
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    cases of empty or unfilled spaces in the document

    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
     nationally
    -0.72
     exclusively
    -0.71
     broadly
    -0.69
     advoc
    -0.69
     contested
    -0.68
     stip
    -0.67
    undreds
    -0.67
     predec
    -0.66
     commissioned
    -0.66
     challeng
    -0.65
    POSITIVE LOGITS
     Especially
    1.10
     Flavoring
    1.06
     Sometimes
    1.04
     Suppose
    1.01
     Maybe
    1.01
     ;)
    1.00
     Anyway
    0.98
     Trying
    0.97
     Whenever
    0.95
     Watching
    0.94
    Activations Density 0.449%

    No Known Activations