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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. 3-RES-JB
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    Explanations

    references to the scientific journal "Nature."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the scientific journal "Nature."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ardless
    -0.98
    acters
    -0.92
    olded
    -0.76
    rons
    -0.76
    rican
    -0.75
    RANT
    -0.75
    rieg
    -0.71
    aged
    -0.69
    ppers
    -0.69
    arding
    -0.69
    POSITIVE LOGITS
     Nature
    1.03
    nature
    0.91
     Conservation
    0.84
     Fiction
    0.83
     Medicine
    0.82
     Pwr
    0.81
    Nature
    0.80
     Genetics
    0.79
     Communication
    0.77
     Conditions
    0.75
    Activations Density 0.009%

    No Known Activations