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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. 3-RES-JB
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    Explanations

    mentions of different types of food items, particularly tacos

    oai_token-act-pair · gpt-3.5-turbo

    references to tacos and related food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kj
    -0.78
    20439
    -0.75
     Drawn
    -0.73
    manship
    -0.71
     Known
    -0.69
     ASC
    -0.68
     Citizens
    -0.66
     Armory
    -0.66
    igree
    -0.65
    mberg
    -0.65
    POSITIVE LOGITS
     taco
    0.99
     eater
    0.96
     tacos
    0.95
    rito
    0.95
    otle
    0.93
     seasoning
    0.92
     bowls
    0.85
    eteria
    0.83
    vine
    0.83
    alore
    0.80
    Activations Density 0.008%

    No Known Activations