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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. 9-RES-JB
    11. 13225
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    Explanations

    words related to soldiers and military activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of soldiers and military personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omial
    -0.81
    âĶģ
    -0.75
     straw
    -0.71
    âĶĢâĶĢâĶĢâĶĢ
    -0.69
     bulb
    -0.67
    aminer
    -0.67
     Bloom
    -0.65
    âĸ¬
    -0.64
    Solution
    -0.63
    CLUD
    -0.63
    POSITIVE LOGITS
     stationed
    1.34
     fatig
    1.11
     barracks
    1.04
     garrison
    1.02
     patrolling
    0.95
     colonel
    0.95
     uniforms
    0.90
     guarding
    0.88
    utenant
    0.86
     soldiers
    0.85
    Activations Density 0.059%

    No Known Activations