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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. 8-RES-JB
    11. 2147
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    Explanations

    percentages and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, specifically percentages and statistical figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boy
    -0.78
    flash
    -0.78
    Gra
    -0.72
     organising
    -0.72
     Boat
    -0.72
    stre
    -0.70
    ski
    -0.70
    Stre
    -0.69
    ebook
    -0.68
    door
    -0.67
    POSITIVE LOGITS
     percent
    1.58
    %;
    1.27
    %
    1.24
    %:
    1.24
    %)
    1.19
    %,
    1.19
    %"
    1.16
    %.
    1.15
    %).
    1.14
    %-
    1.11
    Activations Density 0.062%

    No Known Activations