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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
    11. 4849
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    Explanations

    terms related to flavors and tastes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to flavor and taste in food

    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
    chy
    -0.69
     Rams
    -0.68
     Aerospace
    -0.64
    upon
    -0.64
    shire
    -0.62
     erected
    -0.61
    tics
    -0.61
     Lak
    -0.60
    Universal
    -0.60
     LTD
    -0.60
    POSITIVE LOGITS
     flavor
    1.09
     flavour
    0.99
     Flav
    0.98
     flavored
    0.97
     buds
    0.95
    ĸļ
    0.92
     palate
    0.89
     juices
    0.88
     tastes
    0.88
     Flavor
    0.87
    Activations Density 0.017%

    No Known Activations