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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. 2-RES-JB
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    Explanations

    mentions of the word "Sit" or variations like "Situation" and "sitcom" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Sit" and related references in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.86
     Flavoring
    -0.80
    ¥ŀ
    -0.79
    20439
    -0.78
    ranch
    -0.73
    shapeshifter
    -0.70
    Leary
    -0.70
    è»
    -0.69
     traced
    -0.67
    livion
    -0.66
    POSITIVE LOGITS
    uations
    1.28
     Sit
    1.12
    Sit
    1.10
    uated
    0.97
    sit
    0.96
    uation
    0.95
    ters
    0.92
    chell
    0.86
    emate
    0.83
    chens
    0.82
    Activations Density 0.015%

    No Known Activations