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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 420
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    Explanations

    phrases related to flavors or ingredients in food

    oai_token-act-pair · gpt-3.5-turbo

    mentions of flavor and related concepts in food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.69
     Rams
    -0.67
     Lions
    -0.66
    chy
    -0.65
    reon
    -0.64
     Lak
    -0.63
     Nikon
    -0.62
     Aerospace
    -0.62
     Ic
    -0.61
    upon
    -0.60
    POSITIVE LOGITS
     buds
    1.01
     Flavoring
    1.01
     enh
    0.95
     palate
    0.94
     Flav
    0.94
     flavor
    0.93
    aceous
    0.91
    pill
    0.90
     flavored
    0.89
     juices
    0.89
    Activations Density 0.038%

    No Known Activations