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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. 7-RES-JB
    11. 21433
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    Explanations

    discrepancies between appearances and reality

    oai_token-act-pair · gpt-3.5-turbo

    discrepancies between perceived and actual situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Likes
    -0.71
    foundland
    -0.69
    ucket
    -0.67
    cellaneous
    -0.65
    iaries
    -0.64
    Rating
    -0.63
    chy
    -0.63
    ipation
    -0.63
    chairs
    -0.62
    onement
    -0.61
    POSITIVE LOGITS
     actually
    0.98
    actually
    0.90
     truth
    0.88
     reality
    0.86
    Actually
    0.86
     Actually
    0.85
     Nope
    0.78
     actual
    0.74
     Fraud
    0.73
     Turns
    0.71
    Activations Density 0.517%

    No Known Activations