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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. 21424
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    Explanations

    food items and related terms

    oai_token-act-pair · gpt-3.5-turbo

    food items and dishes served in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Fundamental
    -0.81
    ioxide
    -0.76
     developmental
    -0.68
     Gamergate
    -0.68
     CW
    -0.67
     Journals
    -0.66
    IRC
    -0.66
     coefficients
    -0.65
    usercontent
    -0.65
    ForgeModLoader
    -0.64
    POSITIVE LOGITS
     tasted
    1.55
     eaten
    1.48
     cooked
    1.46
     flavored
    1.37
     sandwiches
    1.32
     served
    1.31
     tasting
    1.30
     brewed
    1.29
     tacos
    1.29
     grilled
    1.26
    Activations Density 0.331%

    No Known Activations