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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. 10-RES-JB
    11. 12174
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    Explanations

    the word "amount" with different intensities of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aldi
    -0.70
    ullivan
    -0.69
    inating
    -0.66
    asts
    -0.66
     Seat
    -0.64
    ··
    -0.62
     Frankenstein
    -0.62
    inated
    -0.61
    selves
    -0.60
    inelli
    -0.60
    POSITIVE LOGITS
    ngth
    0.97
     of
    0.96
     owed
    0.86
     amount
    0.85
     thereof
    0.83
     payable
    0.82
     spent
    0.79
     amounts
    0.78
     ingested
    0.77
     invested
    0.76
    Activations Density 0.043%

    No Known Activations