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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23237
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    Explanations

    references to armed conflict and warfare, particularly mentioning rebel groups

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rebel groups or factions

    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
    ographies
    -0.77
    ulhu
    -0.76
    thora
    -0.75
    gow
    -0.75
    othy
    -0.75
    è¯
    -0.73
    icrobial
    -0.73
     Remastered
    -0.71
    ocobo
    -0.70
    orgetown
    -0.70
    POSITIVE LOGITS
     factions
    1.02
     militias
    0.96
     shelling
    0.91
     milit
    0.91
     rebels
    0.90
     army
    0.90
     fighters
    0.89
     faction
    0.89
     brig
    0.86
     camps
    0.84
    Activations Density 0.036%

    No Known Activations