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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. 20533
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    Explanations

    phrases related to weather and natural landscapes, especially focusing on elements like fog, snow, sun, and wind

    oai_token-act-pair · gpt-3.5-turbo

    weather-related imagery and descriptions

    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
    FN
    -0.88
    tein
    -0.83
     Founding
    -0.78
     Nobel
    -0.74
    acebook
    -0.72
    0001
    -0.69
    itutional
    -0.69
    ibo
    -0.68
    IQ
    -0.68
    inctions
    -0.67
    POSITIVE LOGITS
     showers
    1.19
     raining
    1.14
     clouds
    1.03
     rains
    1.03
     coating
    1.02
     haze
    1.02
     blankets
    1.01
     engulf
    1.00
     rain
    1.00
     scor
    0.99
    Activations Density 0.267%

    No Known Activations