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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. 12-RES-JB
    11. 2363
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    Explanations

    units of measurement and distances

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    units of measurement and their corresponding attributes related to length, weight, and volume

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    leck
    -0.73
    eers
    -0.71
    eer
    -0.70
    geries
    -0.67
     resur
    -0.63
    chard
    -0.63
    OUP
    -0.62
    oras
    -0.62
    ItemTracker
    -0.61
    OOL
    -0.60
    POSITIVE LOGITS
     travelled
    0.94
    ened
    0.89
     traveled
    0.88
     measurement
    0.84
     ILCS
    0.82
     between
    0.82
     restriction
    0.79
    band
    0.79
     limitation
    0.78
    hered
    0.77
    Activations Density 0.091%

    No Known Activations