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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. 1-RES-JB
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    Explanations

    the word "experiment."

    oai_token-act-pair · gpt-3.5-turbo

    references to experiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flush
    -0.76
    partisan
    -0.72
    lining
    -0.69
    nergy
    -0.68
    corruption
    -0.68
    paragraph
    -0.67
    access
    -0.65
    late
    -0.63
    ne
    -0.63
    clinton
    -0.61
    POSITIVE LOGITS
     Experiment
    1.32
     experiment
    1.23
    iments
    0.98
    imental
    0.94
    iment
    0.92
     experimented
    0.85
     experiments
    0.84
    Exper
    0.80
    ĨĴ
    0.80
     experimentation
    0.79
    Activations Density 0.010%

    No Known Activations