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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. 4-RES-JB
    11. 22614
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    Explanations

    words related to weather conditions, especially those related to sunlight

    oai_token-act-pair · gpt-3.5-turbo

    references to sunny weather conditions

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

    No Comments

    Negative Logits
    ilage
    -0.82
    ovan
    -0.81
    ingo
    -0.81
     Cosponsors
    -0.81
    ngth
    -0.80
    usable
    -0.80
    LESS
    -0.78
    inctions
    -0.78
    utan
    -0.76
    igham
    -0.75
    POSITIVE LOGITS
     sunny
    1.07
     skies
    1.00
     rainy
    0.93
     Sunny
    0.90
     Leone
    0.90
     Nights
    0.87
     afternoon
    0.81
     cloudy
    0.81
     weather
    0.78
     stroll
    0.78
    Activations Density 0.015%

    No Known Activations