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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. 1-RES-JB
    11. 8692
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    Explanations

    mentions of military units such as battalions and brigades

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military units and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ven
    -0.92
    pert
    -0.78
    omon
    -0.75
    Consumer
    -0.70
     straw
    -0.70
    mouth
    -0.69
    posed
    -0.68
    portation
    -0.68
    Jenn
    -0.68
    ucl
    -0.67
    POSITIVE LOGITS
    alions
    1.48
     regiment
    1.15
     battalion
    1.11
     Regiment
    1.08
     colonel
    1.08
     Battalion
    1.04
    rons
    0.99
     barracks
    0.98
     commander
    0.95
    atoon
    0.95
    Activations Density 0.013%

    No Known Activations