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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. 3-RES-JB
    11. 6987
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    Explanations

    medical or technical terms related to calculation

    oai_token-act-pair · gpt-3.5-turbo

    words related to calories and caloric measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.98
    icket
    -0.80
    kaya
    -0.73
     Cosponsors
    -0.69
    EEP
    -0.68
     Kens
    -0.66
     Forth
    -0.63
    OHN
    -0.62
    hift
    -0.61
    è¦ļéĨĴ
    -0.61
    POSITIVE LOGITS
    cal
    1.13
    gary
    1.08
    ibr
    1.07
    endar
    1.06
    cium
    1.05
    orie
    1.05
    endars
    1.04
    cul
    1.04
    culated
    1.02
    culation
    1.01
    Activations Density 0.009%

    No Known Activations