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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. 7-RES-JB
    11. 7785
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    Explanations

    sports teams and their associated abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and their usage in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ion
    -0.73
     gaze
    -0.73
     retard
    -0.73
     face
    -0.72
     privileged
    -0.71
     spiked
    -0.71
     afford
    -0.70
     photography
    -0.70
     privilege
    -0.69
     freeze
    -0.69
    POSITIVE LOGITS
    also
    1.33
    formerly
    1.31
    both
    1.30
    sic
    1.28
    another
    1.16
    which
    1.15
    excluding
    1.12
    see
    1.12
    more
    1.12
    although
    1.11
    Activations Density 0.106%

    No Known Activations