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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. 5-RES-JB
    6. 11255
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    Explanations

    mentions of military troops in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to military troops and their deployment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.75
    theless
    -0.73
    MAL
    -0.71
    sight
    -0.70
    ities
    -0.70
     Literary
    -0.67
     Mercury
    -0.65
    lihood
    -0.65
    Consumer
    -0.65
    £ı
    -0.63
    POSITIVE LOGITS
     stationed
    1.27
     garrison
    1.01
     fatig
    0.97
     deployed
    0.95
     patrolling
    0.90
     troops
    0.89
    opers
    0.88
     barracks
    0.87
     troop
    0.86
     deployments
    0.86
    Activations Density 0.027%

    No Known Activations