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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. 9-RES-JB
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    Explanations

    mentions of the word 'Pine'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pine."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.71
    Interstitial
    -0.69
    hered
    -0.67
    =""
    -0.67
    ICAN
    -0.62
    SHIP
    -0.61
     Provided
    -0.61
    ãĤ±
    -0.61
    tein
    -0.61
     Duchess
    -0.61
    POSITIVE LOGITS
    apple
    1.34
    cone
    1.32
     cones
    1.04
     cone
    0.95
     forests
    0.89
     mart
    0.86
     trees
    0.85
    gro
    0.83
    tree
    0.83
    hurst
    0.81
    Activations Density 0.083%

    No Known Activations