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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. 8-RES-JB
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    Explanations

    mentions of military personnel

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omial
    -0.83
    âĶģ
    -0.80
    aminer
    -0.76
    âĶĢâĶĢâĶĢâĶĢ
    -0.76
     Bloom
    -0.73
    TERN
    -0.72
    tera
    -0.69
     Seller
    -0.69
     straw
    -0.67
    ologies
    -0.66
    POSITIVE LOGITS
     stationed
    1.27
     fatig
    1.12
     barracks
    0.99
     garrison
    0.93
     patrolling
    0.92
     colonel
    0.91
     uniforms
    0.91
     guarding
    0.89
     soldiers
    0.85
    utenant
    0.83
    Activations Density 0.044%

    No Known Activations