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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. 5127
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    Explanations

    references to the scientific journal "Nature"

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    acters
    -0.81
    aged
    -0.75
    onest
    -0.73
    stan
    -0.69
    zai
    -0.69
    minster
    -0.67
    rant
    -0.67
    oning
    -0.66
    oned
    -0.66
    rican
    -0.64
    POSITIVE LOGITS
     Conserv
    0.89
     Nature
    0.80
    nature
    0.76
     Conservation
    0.75
     Plants
    0.75
     fiction
    0.74
    Tree
    0.73
     Pwr
    0.72
     preserves
    0.71
    Nature
    0.70
    Activations Density 0.029%

    No Known Activations