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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. 4-RES-JB
    11. 13604
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    Explanations

    ingredients in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    food-related terms and ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.60
    xual
    -0.59
    worldly
    -0.53
    behind
    -0.53
    bley
    -0.52
    mony
    -0.52
     omission
    -0.51
     pronounced
    -0.50
    ysis
    -0.50
    study
    -0.50
    POSITIVE LOGITS
    luster
    0.51
    atten
    0.50
     Speedway
    0.48
    utters
    0.48
    gins
    0.47
    owship
    0.47
    ishable
    0.46
     SetFontSize
    0.46
    SHA
    0.46
    OIL
    0.45
    Activations Density 1.348%

    No Known Activations