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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of military troops

    oai_token-act-pair · gpt-3.5-turbo

    references to military troops

    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
    lihood
    -0.80
    âĸ¬
    -0.77
    MAL
    -0.73
    Consumer
    -0.73
    sight
    -0.71
     Mercury
    -0.68
    Cand
    -0.68
    âĶģ
    -0.67
     Literary
    -0.66
    Distance
    -0.66
    POSITIVE LOGITS
     stationed
    1.24
     troops
    1.01
     garrison
    0.99
    alions
    0.98
     deployed
    0.97
     fatig
    0.97
     barracks
    0.90
     soldiers
    0.88
     troop
    0.87
     colonel
    0.86
    Activations Density 0.028%

    No Known Activations