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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. 7-RES-JB
    11. 11067
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    INDEX
    Explanations

    comparisons between different groups or conditions

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases indicating differences in various statistics or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eni
    -0.65
    oola
    -0.62
    lla
    -0.59
    cu
    -0.59
    bending
    -0.58
     disclaimer
    -0.58
     whim
    -0.57
     inev
    -0.57
    roll
    -0.56
     principle
    -0.56
    POSITIVE LOGITS
    average
    0.80
     comparable
    0.78
     usual
    0.78
     (âĪĴ
    0.74
     average
    0.70
    ilings
    0.69
    Average
    0.68
    vertisements
    0.67
     peers
    0.66
     Average
    0.66
    Activations Density 0.133%

    No Known Activations