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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. 11-RES-JB
    11. 6960
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    Explanations

    words related to weather, particularly the wind and sun

    oai_token-act-pair · gpt-3.5-turbo

    elements related to weather and natural phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.88
    ?????-
    -0.75
     Founding
    -0.74
     Tek
    -0.74
    inctions
    -0.72
    artments
    -0.71
    urger
    -0.70
    acebook
    -0.69
    acters
    -0.69
     Investments
    -0.69
    POSITIVE LOGITS
     showers
    1.09
     gust
    1.06
     blowing
    1.06
     forecast
    1.03
     chilly
    1.03
     whipping
    1.02
     raining
    1.00
     humidity
    1.00
     clouds
    0.97
     fog
    0.96
    Activations Density 0.248%

    No Known Activations