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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 21654
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    Explanations

    terms related to conflict, battles, and military engagements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to combat or conflict situations

    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
     Remastered
    -0.71
    Magazine
    -0.69
    CLA
    -0.68
     Swim
    -0.67
    Morgan
    -0.66
    âĶĢâĶĢâĶĢâĶĢ
    -0.64
     Upton
    -0.64
    Consumer
    -0.64
     Richards
    -0.64
    Dick
    -0.63
    POSITIVE LOGITS
    fighting
    1.13
     Libyan
    0.93
     brig
    0.93
     insurgents
    0.91
     Afghans
    0.90
     milit
    0.90
     waged
    0.88
     ISIS
    0.85
     Afghan
    0.85
     ISIL
    0.85
    Activations Density 0.089%

    No Known Activations