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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. 10-RES-JB
    11. 12173
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    Explanations

    weather-related terms, specifically focusing on rain and wind

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to weather conditions and environmental factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGN
    -0.76
    Choice
    -0.75
    Shares
    -0.74
     Unch
    -0.72
     Worth
    -0.71
    STER
    -0.71
    emort
    -0.70
     Authent
    -0.70
     Mellon
    -0.68
     Chosen
    -0.68
    POSITIVE LOGITS
     humidity
    1.57
     rain
    1.53
     snow
    1.44
     precipitation
    1.42
     rainfall
    1.38
     sunlight
    1.37
     water
    1.32
     moisture
    1.31
     clouds
    1.29
     rains
    1.29
    Activations Density 0.220%

    No Known Activations