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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 22241
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    Explanations

    numbers and mathematical expressions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rave
    -0.60
     racks
    -0.53
    âĢij
    -0.51
    ãĢİ
    -0.51
    ":[{"
    -0.48
     proced
    -0.48
     trouble
    -0.47
     (£
    -0.46
     insider
    -0.46
     ($
    -0.46
    POSITIVE LOGITS
     )
    3.39
     ),
    2.78
     ).
    2.77
     .)
    2.70
     ))
    2.63
     ):
    2.60
     )]
    2.50
     );
    2.48
     )))
    2.31
     ));
    2.16
    Activations Density 0.013%

    No Known Activations