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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. 6-RES-JB
    11. 1048
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    Explanations

    words related to military warfare and battlegrounds

    oai_token-act-pair · gpt-3.5-turbo

    terms related to warfare and combat

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uana
    -0.75
    agate
    -0.74
    andro
    -0.73
    aky
    -0.73
    aido
    -0.71
    uthor
    -0.71
    lig
    -0.70
    gger
    -0.70
    perm
    -0.69
    QU
    -0.69
    POSITIVE LOGITS
     battlefield
    0.98
    front
    0.85
    sburg
    0.80
    halla
    0.79
     Royale
    0.75
     hardened
    0.73
    fare
    0.72
     battleground
    0.71
     Battlefield
    0.71
     roy
    0.70
    Activations Density 0.041%

    No Known Activations