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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. 1474
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    Explanations

    names or references to the term "Gram" with varying degrees of specificity

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "gram" and its variations, indicating a focus on units of measurement or weight

    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
    aido
    -0.73
    rouse
    -0.68
     infrared
    -0.67
    Proxy
    -0.66
    ench
    -0.64
     mounts
    -0.63
     awoken
    -0.63
     aroused
    -0.63
    hawk
    -0.62
     awakened
    -0.62
    POSITIVE LOGITS
     Gram
    4.38
     gram
    3.00
    gram
    2.30
     grammar
    2.02
     Grammy
    1.40
     Germ
    1.23
     grams
    1.04
    glomer
    0.95
     Voc
    0.94
    gal
    0.91
    Activations Density 0.038%

    No Known Activations