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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. 4-RES-JB
    11. 13346
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    Explanations

    mentions of jets, specifically focusing on jet engines and jet transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to jet-related topics or vehicles

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

    No Comments

    Negative Logits
    ãģį
    -0.86
    éģ
    -0.76
    é»Ĵ
    -0.75
    Ô
    -0.74
    ãĤ±
    -0.74
    İĭ
    -0.72
    女
    -0.71
    FINE
    -0.70
    Else
    -0.70
    ADRA
    -0.70
    POSITIVE LOGITS
    liner
    1.39
    liners
    1.21
     jet
    1.02
     jets
    0.99
     airliner
    0.95
    jet
    0.92
    ting
    0.91
     ski
    0.88
    pack
    0.86
     planes
    0.85
    Activations Density 0.009%

    No Known Activations