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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. 0-RES-JB
    11. 17043
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    Explanations

    words related to measurement or quantification

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of measuring or quantifying

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aja
    -0.73
    atically
    -0.66
     Anth
    -0.66
    Doc
    -0.65
     Mirage
    -0.64
    oof
    -0.64
    \<
    -0.63
    endar
    -0.63
    dit
    -0.62
    leck
    -0.60
    POSITIVE LOGITS
     measured
    3.65
     measuring
    1.91
     measurement
    1.91
     measurements
    1.90
     measurable
    1.78
     calculated
    1.77
     Measure
    1.61
     measure
    1.61
     calibrated
    1.59
     assessed
    1.57
    Activations Density 0.013%

    No Known Activations