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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. 4-RES-JB
    6. 5034
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    Explanations

    references to explosive devices

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bomb" in various contexts

    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
    laus
    -0.87
    SEA
    -0.81
    éĸ
    -0.74
     Vale
    -0.72
    é»Ĵ
    -0.70
     Princ
    -0.68
    Lic
    -0.67
    DragonMagazine
    -0.67
     Legends
    -0.66
     Dise
    -0.66
    POSITIVE LOGITS
    arding
    1.22
    arded
    1.12
     detonated
    1.07
     bomb
    1.00
     deton
    1.00
     explodes
    0.95
    astically
    0.95
     bombs
    0.94
    astic
    0.91
    blast
    0.87
    Activations Density 0.012%

    No Known Activations