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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. 6-RES-JB
    11. 24520
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    Explanations

    numerical data and statistics

    oai_token-act-pair · gpt-3.5-turbo

    the presence of section breaks or document end markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     someday
    -0.59
    planet
    -0.58
     urgently
    -0.56
     oath
    -0.56
    fab
    -0.54
     somew
    -0.54
     intric
    -0.53
    din
    -0.49
    atom
    -0.49
    must
    -0.49
    POSITIVE LOGITS
     Avg
    0.74
     avg
    0.70
     (-
    0.69
     Gallup
    0.68
     averages
    0.67
     average
    0.66
    adjusted
    0.66
     statistically
    0.66
    nces
    0.66
     Average
    0.65
    Activations Density 1.084%

    No Known Activations