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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. 9-RES-JB
    6. 6503
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    INDEX
    Explanations

    quantitative changes or comparisons in various situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate changes or variations measured in percentages

    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
    hid
    -0.72
    finished
    -0.71
     succeeds
    -0.69
    itialized
    -0.68
    argon
    -0.66
    istar
    -0.66
    wine
    -0.65
     succeeded
    -0.65
    rology
    -0.63
    agate
    -0.63
    POSITIVE LOGITS
     leaps
    1.10
     virtue
    0.90
     fractions
    0.90
     trillions
    0.87
     approximately
    0.86
     fiat
    0.85
     50
    0.85
     20
    0.85
     half
    0.84
     nearly
    0.84
    Activations Density 0.069%

    No Known Activations