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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. 1528
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    Explanations

    percentages or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    percentages and demographic statistics

    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
    Reviewer
    -0.72
     Bod
    -0.68
    BO
    -0.65
    arf
    -0.65
    ebook
    -0.63
    zos
    -0.63
     Dos
    -0.62
    fire
    -0.62
     retri
    -0.62
    flash
    -0.62
    POSITIVE LOGITS
    %:
    1.51
    %)
    1.48
    %).
    1.44
    %
    1.43
    %,
    1.42
    %-
    1.40
    %;
    1.39
    %.
    1.35
    %),
    1.30
     percent
    1.24
    Activations Density 0.108%

    No Known Activations