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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. 11629
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    Explanations

    the word "be" followed by other words, possibly indicating a state of being or action

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "be."

    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
     Scand
    -0.71
     hoops
    -0.66
     Blocks
    -0.66
     Peel
    -0.63
     Sr
    -0.63
     accommodation
    -0.62
     Recovery
    -0.62
     Catalog
    -0.61
     process
    -0.61
     Bean
    -0.60
    POSITIVE LOGITS
    hemoth
    1.47
    arers
    1.42
    fitting
    1.40
    ardless
    1.35
    league
    1.34
    eping
    1.33
    heading
    1.33
    aming
    1.29
    acons
    1.29
    ige
    1.28
    Activations Density 0.026%

    No Known Activations