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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. 4050
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    INDEX
    Explanations

    words related to the atmosphere and environmental factors

    oai_token-act-pair · gpt-3.5-turbo

    references to atmospheric conditions and related scientific terms

    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
    efer
    -0.83
    adra
    -0.79
    hood
    -0.77
    fold
    -0.77
    urat
    -0.75
     Dare
    -0.74
    fect
    -0.74
    Square
    -0.74
    Corp
    -0.74
    zig
    -0.74
    POSITIVE LOGITS
     atmospheric
    1.08
     ozone
    0.99
     pollution
    0.99
     emissions
    0.98
    heric
    0.96
     impedance
    0.95
     pollutants
    0.94
     moisture
    0.93
     methane
    0.92
     turbulence
    0.92
    Activations Density 0.012%

    No Known Activations