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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. 8-RES-JB
    11. 8433
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    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, especially periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     charm
    -0.80
     underestimated
    -0.73
     manif
    -0.73
     withd
    -0.72
     tradem
    -0.71
     purse
    -0.70
     exha
    -0.69
     grounding
    -0.68
     hemor
    -0.68
     creatively
    -0.67
    POSITIVE LOGITS
    taboola
    1.08
    NET
    1.01
    jpg
    0.93
     âĶľâĶĢâĶĢ
    0.87
    htm
    0.87
    html
    0.86
    wav
    0.85
    Net
    0.83
    gif
    0.83
    embed
    0.82
    Activations Density 0.058%

    No Known Activations