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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5908
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    Explanations

    words related to cooking and recipes

    oai_token-act-pair · gpt-3.5-turbo

    references to cookware or cooking utensils

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    åŃ
    -0.78
    ij士
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    IGH
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     GEAR
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     Seym
    -0.70
    çĭ
    -0.67
    ãĤī
    -0.67
    è¦
    -0.65
    marked
    -0.65
    POSITIVE LOGITS
    ning
    1.09
    zees
    0.95
    eways
    0.90
    xual
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    olin
    0.83
    ned
    0.80
    psons
    0.79
    ahon
    0.77
    oche
    0.76
    pan
    0.76
    Activations Density 0.018%

    No Known Activations