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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22609
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    Explanations

    weather-related terms and numbers

    oai_token-act-pair · gpt-3.5-turbo

    weather-related information and forecasts

    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
    wik
    -0.76
    Success
    -0.73
    Lear
    -0.71
    reference
    -0.71
     Submission
    -0.70
    quest
    -0.69
    imble
    -0.69
    Coin
    -0.69
    reply
    -0.68
    Exec
    -0.67
    POSITIVE LOGITS
     temperatures
    1.53
     rains
    1.51
     rainfall
    1.46
     weather
    1.44
     humidity
    1.42
     precipitation
    1.40
     rain
    1.35
     winters
    1.34
     showers
    1.26
     rainy
    1.24
    Activations Density 1.330%

    No Known Activations