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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. 11-RES-JB
    11. 35
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    Explanations

    terms related to dietary habits and behaviors

    oai_token-act-pair · gpt-3.5-turbo

    references to diet and nutrition-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Avalon
    -0.72
     Dam
    -0.71
    ILLE
    -0.67
    AGES
    -0.64
     Kafka
    -0.62
    coming
    -0.62
     bidding
    -0.62
     Spac
    -0.61
     Lod
    -0.61
    Constructed
    -0.60
    POSITIVE LOGITS
    etic
    1.22
    etics
    1.18
    ician
    1.03
    rition
    1.03
    etically
    1.00
    eteria
    0.98
     Coke
    0.97
    amins
    0.97
    onut
    0.96
    namese
    0.93
    Activations Density 0.058%

    No Known Activations