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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. 10970
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    Explanations

    measurements and recipe ingredients

    oai_token-act-pair · gpt-3.5-turbo

    fractions and measurements in a recipe context

    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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    No Comments

    Negative Logits
     Fletcher
    -0.65
     Morg
    -0.63
     Kahn
    -0.62
     Daly
    -0.62
     Elliott
    -0.61
     Syl
    -0.61
     Alv
    -0.60
     obsc
    -0.58
     favorably
    -0.58
     Duke
    -0.58
    POSITIVE LOGITS
    ËĪ
    0.96
    oct
    0.95
    4
    0.89
    2
    0.86
    arbon
    0.83
    1000
    0.82
    16
    0.82
    reci
    0.80
    3
    0.79
    arious
    0.79
    Activations Density 0.024%

    No Known Activations