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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. 18798
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    oai_token-act-pair · gpt-3.5-turbo

    the word "fairly" with high frequency and emphasis

    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
    ocene
    -0.77
    iens
    -0.74
    jen
    -0.74
    adelphia
    -0.74
    iment
    -0.73
    aden
    -0.72
    venant
    -0.71
    uality
    -0.71
    orem
    -0.71
    iments
    -0.70
    POSITIVE LOGITS
     priced
    0.93
     sized
    0.92
     accurate
    0.90
     tame
    0.84
     straightforward
    0.84
     readable
    0.83
     speaking
    0.82
     evenly
    0.79
     harmless
    0.78
     innocuous
    0.78
    Activations Density 0.015%

    No Known Activations