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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. 0-RES-JB
    11. 13075
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    Explanations

    statements or assertions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to official or public statements

    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
    aper
    -0.75
     Hunt
    -0.67
    uni
    -0.66
    rio
    -0.65
     Reborn
    -0.64
    hung
    -0.64
    atorium
    -0.63
    erer
    -0.61
    hander
    -0.61
    ched
    -0.60
    POSITIVE LOGITS
     statements
    3.57
     Statements
    2.86
     statement
    2.38
     declarations
    2.21
     Statement
    2.12
    Statement
    2.08
     assertions
    2.07
     remarks
    1.82
    statement
    1.76
     comments
    1.73
    Activations Density 0.021%

    No Known Activations