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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7869
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    Explanations

    numeric figures related to quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measurements or counts related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rum
    -0.76
    olic
    -0.56
     GI
    -0.56
    gee
    -0.55
    ellar
    -0.55
    rology
    -0.54
     literature
    -0.53
    activ
    -0.53
     Phys
    -0.53
     Canary
    -0.52
    POSITIVE LOGITS
     apiece
    1.68
    poons
    1.14
     per
    0.95
    paces
    0.91
    omething
    0.87
     consecut
    0.85
     total
    0.79
    awatts
    0.79
    renheit
    0.76
     respectively
    0.75
    Activations Density 0.249%

    No Known Activations