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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 7-RES-JB
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    Explanations

    mentions of elephants

    oai_token-act-pair · gpt-3.5-turbo

    the mentions of the word "elephant."

    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
    sburgh
    -0.81
    raints
    -0.77
    lain
    -0.76
     Papers
    -0.73
    DERR
    -0.73
    aldehyde
    -0.71
     Sakuya
    -0.70
     Responsibility
    -0.69
     Kenobi
    -0.68
    lace
    -0.68
    POSITIVE LOGITS
    venth
    1.45
    phant
    1.34
    fter
    1.07
    ven
    1.01
    ph
    0.90
    azar
    0.89
    ves
    0.87
    oton
    0.86
    ghan
    0.86
    fters
    0.86
    Activations Density 0.035%

    No Known Activations