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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. 7-RES-JB
    11. 14533
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    Explanations

    the word "of"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantities or measures of various goods or commodities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boxing
    -0.72
    axis
    -0.72
    usra
    -0.67
    ĸļ
    -0.66
    imposed
    -0.63
    externalActionCode
    -0.62
     inquest
    -0.62
    orable
    -0.61
    idad
    -0.61
    oples
    -0.61
    POSITIVE LOGITS
     goods
    1.28
     groceries
    0.98
     commodities
    0.97
     merchandise
    0.90
     Goods
    0.88
     cigarettes
    0.88
     tickets
    0.87
     goodies
    0.85
     products
    0.84
     medicines
    0.82
    Activations Density 0.273%

    No Known Activations