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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. 7817
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    Explanations

    quantities expressed as percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to the quantity "half."

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    andr
    -0.59
    licts
    -0.53
     rul
    -0.53
    sed
    -0.52
    andi
    -0.51
     dstg
    -0.50
     laun
    -0.50
    edIn
    -0.49
     convol
    -0.49
     condem
    -0.48
    POSITIVE LOGITS
     of
    0.93
    heartedly
    0.80
     thereof
    0.76
    way
    0.73
     the
    0.72
    wheel
    0.71
    ibaba
    0.70
    OF
    0.68
    hearted
    0.68
    terness
    0.67
    Activations Density 0.045%

    No Known Activations