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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. 10-RES-JB
    11. 8005
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    Explanations

    words related to mathematics and calculations

    oai_token-act-pair · gpt-3.5-turbo

    words related to subtraction or reducing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    XXXX
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    croft
    -0.61
     Bull
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     SOFTWARE
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    ãĥĩ
    -0.60
    umin
    -0.59
     Kirin
    -0.58
    angelo
    -0.57
    ridge
    -0.57
    POSITIVE LOGITS
    eness
    0.98
    ety
    0.86
    weet
    0.78
    vity
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    lest
    0.74
    eties
    0.74
    iped
    0.73
    ethy
    0.71
    ems
    0.71
    elines
    0.71
    Activations Density 0.055%

    No Known Activations