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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. 3-RES-JB
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    Explanations

    mentions of the Arctic

    oai_token-act-pair · gpt-3.5-turbo

    references to the Arctic region

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -1.09
    ership
    -1.04
    ister
    -0.94
    advertising
    -0.89
    erva
    -0.86
    efer
    -0.84
    usc
    -0.83
    etts
    -0.79
    ä
    -0.78
    Tickets
    -0.78
    POSITIVE LOGITS
     Arctic
    1.04
     Ocean
    1.00
     warming
    0.99
    ctic
    0.91
     Sunrise
    0.91
     Circle
    0.90
    thur
    0.88
     Seas
    0.84
     Expedition
    0.83
     Sea
    0.83
    Activations Density 0.010%

    No Known Activations