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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. 8753
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    Explanations

    numeric values and units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    aberrant numerical or symbolic data

    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
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    Negative Logits
    atel
    -0.75
     Afric
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     behav
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     accompan
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     Reader
    -0.62
     contrace
    -0.60
     Feder
    -0.59
     Canaan
    -0.59
     mimic
    -0.57
     intent
    -0.57
    POSITIVE LOGITS
    iversary
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    lbs
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    ï¸ı
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    percent
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     inches
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    undred
    0.83
     lbs
    0.80
    ½
    0.80
     ounces
    0.79
    taboola
    0.78
    Activations Density 0.080%

    No Known Activations