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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
    11. 23614
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    Explanations

    terms related to natural disasters or powerful natural events, specifically thunderstorms and lightning

    oai_token-act-pair · gpt-3.5-turbo

    references to thunderstorms and related weather phenomena

    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
     Journals
    -0.78
     Literary
    -0.70
     Borders
    -0.69
    Modern
    -0.68
    aepernick
    -0.67
    ulton
    -0.66
     Norn
    -0.66
    Ô
    -0.66
    BLIC
    -0.65
     Rica
    -0.65
    POSITIVE LOGITS
    storms
    1.39
    bolt
    1.22
    storm
    1.20
     thunder
    1.10
     storms
    1.06
    bats
    0.92
    stru
    0.91
    icity
    0.90
    bows
    0.89
     gust
    0.86
    Activations Density 0.008%

    No Known Activations