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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. 5093
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    Explanations

    mentions of 'whole' in the context of food or products

    oai_token-act-pair · gpt-3.5-turbo

    references to "whole" foods or ingredients

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.77
    interstitial
    -0.65
    ++++++++++++++++
    -0.64
     Buchanan
    -0.63
     Racer
    -0.61
    ////
    -0.61
     advance
    -0.58
     CoC
    -0.58
    KER
    -0.58
    RANT
    -0.58
    POSITIVE LOGITS
    heartedly
    1.86
    hearted
    1.37
    meal
    1.07
    fam
    0.81
     genomes
    0.78
     Foods
    0.77
     swat
    0.77
    omet
    0.76
    fledged
    0.76
     genome
    0.73
    Activations Density 0.021%

    No Known Activations