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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. 4-RES-JB
    11. 1298
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    Explanations

    statistics and numerical data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

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

    No Comments

    Negative Logits
    Reviewer
    -0.86
    ipment
    -0.75
    agents
    -0.75
    piracy
    -0.70
    orthodox
    -0.69
    igent
    -0.69
    ffen
    -0.67
    agent
    -0.65
    aviour
    -0.63
    ffiti
    -0.63
    POSITIVE LOGITS
     percent
    1.02
    %
    0.99
    %,
    0.99
    %;
    0.96
    %.
    0.95
     trillion
    0.90
    %-
    0.88
     million
    0.87
    ½
    0.87
     ½
    0.86
    Activations Density 0.440%

    No Known Activations