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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. 9-RES-JB
    11. 11194
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    Explanations

    quantitative values expressed as percentages or proportions in a scientific context

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and data regarding quantities or percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rike
    -0.66
    venge
    -0.61
    ettings
    -0.60
    akeru
    -0.60
    iers
    -0.59
     proced
    -0.59
     rejo
    -0.58
     Rivals
    -0.58
    idays
    -0.58
     Congratulations
    -0.57
    POSITIVE LOGITS
    %"
    1.22
    %-
    1.17
    %
    1.16
     percent
    1.15
     percentile
    1.01
     ppm
    1.00
    %,
    1.00
    %)
    0.97
    percent
    0.95
    %.
    0.93
    Activations Density 0.261%

    No Known Activations