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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. 5-RES-JB
    6. 15917
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    Explanations

    references to different offices, departments, and positions within an organizational structure

    oai_token-act-pair · gpt-3.5-turbo

    references to government offices and agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashtra
    -1.07
     verses
    -0.80
    ibling
    -0.75
     passages
    -0.72
    ettel
    -0.71
    ivari
    -0.71
    estones
    -0.71
     poems
    -0.70
     breeds
    -0.68
    tarians
    -0.67
    POSITIVE LOGITS
     Strategic
    0.93
     Budget
    0.81
     Management
    0.79
    ãĤ±
    0.79
     Integrity
    0.76
     Personnel
    0.76
     Inquiry
    0.75
    Correction
    0.75
    ãĥ¤
    0.74
     Inspector
    0.74
    Activations Density 0.060%

    No Known Activations