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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. 3-RES-JB
    11. 12721
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    Explanations

    phrases related to military strategies and maneuvers, specifically focusing on the concept of 'flanking'

    oai_token-act-pair · gpt-3.5-turbo

    military or tactical terminology related to positioning and strategy

    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
    okin
    -0.78
    yre
    -0.74
    ilk
    -0.72
    nan
    -0.72
    issan
    -0.72
    astically
    -0.72
    rha
    -0.71
    odor
    -0.71
     breath
    -0.70
    agically
    -0.70
    POSITIVE LOGITS
     flank
    0.94
    REP
    0.78
    stab
    0.68
    endas
    0.67
    abwe
    0.66
    steen
    0.66
     chap
    0.65
     Meadows
    0.65
    masters
    0.65
    ettes
    0.65
    Activations Density 0.016%

    No Known Activations