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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. 12866
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    INDEX
    Explanations

    fractions or percentages

    oai_token-act-pair · gpt-3.5-turbo

    fractions and ratios associated with statistics or demographics

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     1922
    -0.68
     MIA
    -0.66
     contrace
    -0.65
     LO
    -0.64
     1901
    -0.63
     Irwin
    -0.63
     drama
    -0.62
     Replay
    -0.62
     metic
    -0.61
     Newsletter
    -0.61
    POSITIVE LOGITS
    thirds
    1.87
    fif
    1.80
    third
    1.60
    fifth
    1.59
    fourth
    1.55
    quarters
    1.54
    half
    1.53
    six
    1.51
    quarter
    1.48
    four
    1.45
    Activations Density 0.063%

    No Known Activations