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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. 9-RES-JB
    11. 2715
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    Explanations

    measurements and ingredient quantities in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    fractional measurements typically used in cooking or recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Morg
    -0.75
     broker
    -0.68
     Vi
    -0.67
     Gavin
    -0.64
     Daly
    -0.63
     Cele
    -0.62
     Wes
    -0.61
     bang
    -0.61
     Gab
    -0.60
     Riv
    -0.60
    POSITIVE LOGITS
    4
    1.02
    2
    0.99
    ËĪ
    0.98
    arbon
    0.97
    oct
    0.96
    3
    0.94
    8
    0.92
    144
    0.91
    two
    0.89
    8000
    0.89
    Activations Density 0.028%

    No Known Activations