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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. 7-RES-JB
    11. 21306
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    Explanations

    mentions of a specific terror group, Lashkar-e-Taiba

    oai_token-act-pair · gpt-3.5-turbo

    references to specific groups, individuals, or incidents related to terrorism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vier
    -0.72
     Goose
    -0.70
     lettuce
    -0.68
     Morty
    -0.67
     Trout
    -0.66
     liner
    -0.65
     snail
    -0.65
     Giov
    -0.64
    htaking
    -0.64
     Wonders
    -0.64
    POSITIVE LOGITS
     paramilitary
    1.10
    Islamic
    1.05
    Islam
    1.01
     militants
    0.98
     militias
    0.97
     militant
    0.97
     Islamist
    0.96
     insurgency
    0.94
     extremist
    0.94
     Islamists
    0.93
    Activations Density 0.158%

    No Known Activations