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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. 23740
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    INDEX
    Explanations

    phrases indicating a lack of completion or success

    oai_token-act-pair · gpt-3.5-turbo

    negations or phrases indicating the absence of something

    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
    Not in Any Lists

    No Comments

    Negative Logits
     guessing
    -0.80
     typing
    -0.76
     watches
    -0.76
     watching
    -0.76
     searching
    -0.73
     trying
    -0.72
     discovering
    -0.71
     loves
    -0.70
     photograp
    -0.70
     experimenting
    -0.70
    POSITIVE LOGITS
     occur
    0.99
     suffice
    0.98
     necessarily
    0.95
     dissu
    0.92
    necess
    0.90
     detract
    0.90
     affect
    0.87
     occurred
    0.87
     resonate
    0.87
     preclude
    0.83
    Activations Density 0.138%

    No Known Activations