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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

    words related to extremist or militant groups

    oai_token-act-pair · gpt-3.5-turbo

    references to various militant or terrorist organizations

    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
     Shore
    -0.81
     Magicka
    -0.70
     Lakes
    -0.69
    shire
    -0.69
     Dock
    -0.67
     FANTASY
    -0.66
    ministic
    -0.66
     Cavern
    -0.66
     Goose
    -0.66
     Plate
    -0.65
    POSITIVE LOGITS
    alions
    0.98
     jihadists
    0.93
     extremists
    0.88
    atics
    0.87
    leader
    0.87
     militants
    0.87
     terrorists
    0.86
     members
    0.85
     groups
    0.83
    ifications
    0.82
    Activations Density 0.037%

    No Known Activations