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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. 11-RES-JB
    11. 2516
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    INDEX
    Explanations

    phrases related to time passing or measurements of things

    oai_token-act-pair · gpt-3.5-turbo

    statements of opinion or assessment about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ffe
    -0.76
    RH
    -0.67
     situ
    -0.65
    ffer
    -0.63
    dates
    -0.63
     Sloan
    -0.63
     Previous
    -0.61
     Defendants
    -0.61
    ãĤ´ãĥ³
    -0.61
     originate
    -0.60
    POSITIVE LOGITS
     enough
    1.50
     sufficient
    1.46
     suffice
    1.31
    enough
    1.22
     insufficient
    1.21
     Enough
    1.17
    Enough
    1.03
     adequate
    1.02
     insignificant
    0.96
     plenty
    0.95
    Activations Density 0.215%

    No Known Activations