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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
    11. 6185
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    INDEX
    Explanations

    references to natural surroundings or elements in a positive light

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of 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
    ron
    -0.90
    rons
    -0.87
    oning
    -0.82
    quart
    -0.80
    ulative
    -0.78
    oned
    -0.73
    nuts
    -0.71
    staking
    -0.70
    orney
    -0.69
    rican
    -0.68
    POSITIVE LOGITS
     nature
    0.79
     preserves
    0.78
     fiction
    0.75
     instinct
    0.75
     sciences
    0.74
     conservation
    0.74
     museums
    0.71
     Pwr
    0.71
    conservancy
    0.70
     Jiu
    0.69
    Activations Density 0.009%

    No Known Activations