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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. 9-RES-JB
    11. 5985
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    Explanations

    adjectives related to flavors

    oai_token-act-pair · gpt-3.5-turbo

    references to taste and flavor in food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Lak
    -0.74
    shire
    -0.73
     Rams
    -0.70
     Kling
    -0.70
    reon
    -0.65
     Schne
    -0.65
     Osw
    -0.65
     Lions
    -0.65
    inx
    -0.63
    upon
    -0.63
    POSITIVE LOGITS
     buds
    1.01
    bite
    0.99
     palate
    0.98
     Flav
    0.96
     flavor
    0.94
     Flavoring
    0.94
     juices
    0.94
     enh
    0.93
     flavored
    0.92
    uality
    0.90
    Activations Density 0.053%

    No Known Activations