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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. 6899
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    Explanations

    quantitative information such as percentages and numbers related to demographics or statistics

    oai_token-act-pair · gpt-3.5-turbo
    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
    SPONSORED
    -0.88
    nothing
    -0.72
    some
    -0.72
    spir
    -0.72
    ful
    -0.70
    edd
    -0.69
    maid
    -0.68
    lier
    -0.67
    isson
    -0.67
    another
    -0.66
    POSITIVE LOGITS
     total
    1.17
     population
    1.15
     electorate
    1.14
     populace
    1.07
     nation
    1.02
     workforce
    0.99
     overall
    0.96
     country
    0.94
     variance
    0.93
     world
    0.87
    Activations Density 0.115%

    No Known Activations