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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 3558
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    Explanations

    references to hijackings

    oai_token-act-pair · gpt-3.5-turbo

    references to hijacking events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Solitaire
    -0.75
    20439
    -0.74
     Angels
    -0.70
     Staples
    -0.69
    ç¥ŀ
    -0.68
     Pompe
    -0.66
     Rite
    -0.64
     Izan
    -0.63
     Piercing
    -0.63
     Fairfax
    -0.62
    POSITIVE LOGITS
    ackers
    1.17
    acker
    1.11
    acking
    1.02
    inx
    0.99
     hij
    0.96
    adish
    0.92
    abis
    0.85
    intosh
    0.81
    agic
    0.79
    acked
    0.78
    Activations Density 0.022%

    No Known Activations