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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. 9-RES-JB
    11. 13920
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    INDEX
    Explanations

    phrases expressing multiples or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical comparisons and ratios

    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
    behind
    -0.89
    fy
    -0.80
    among
    -0.77
    amar
    -0.72
     alike
    -0.72
     besides
    -0.70
    there
    -0.66
    watching
    -0.66
    perse
    -0.66
    aday
    -0.64
    POSITIVE LOGITS
     amount
    1.28
     usual
    1.27
     average
    1.09
     maximum
    1.09
     allowable
    1.08
     original
    1.06
     threshold
    1.04
     sum
    1.03
     extent
    1.01
     number
    1.00
    Activations Density 0.140%

    No Known Activations