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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. 9-RES-JB
    11. 13790
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    Explanations

    words related to militant or terrorist groups

    oai_token-act-pair · gpt-3.5-turbo

    references to Islamist and militant terrorist groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wheat
    -0.81
    neau
    -0.75
    othy
    -0.72
    ministic
    -0.70
    HL
    -0.67
     curv
    -0.67
    Consumer
    -0.66
     Coke
    -0.66
    berry
    -0.66
    dra
    -0.66
    POSITIVE LOGITS
     militias
    1.15
     affiliated
    1.14
     insurgents
    1.05
     Boko
    1.03
     Hezbollah
    1.02
    affiliated
    1.02
     affili
    0.98
     factions
    0.97
     extremists
    0.95
     militant
    0.94
    Activations Density 0.190%

    No Known Activations