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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. 10-RES-JB
    11. 2278
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    Explanations

    names of specific locations or organizations, particularly in legal or governmental contexts

    oai_token-act-pair · gpt-3.5-turbo

    names of locations and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utterstock
    -0.83
    toggle
    -0.78
    oldemort
    -0.73
    alys
    -0.72
    kept
    -0.71
    flush
    -0.71
    avery
    -0.68
    lette
    -0.65
    annie
    -0.64
    cised
    -0.64
    POSITIVE LOGITS
     Ranked
    0.99
     Official
    0.98
     Premiere
    0.96
     Community
    0.95
     Network
    0.94
     Historical
    0.94
     Communications
    0.93
     Logo
    0.93
     Printed
    0.89
     Website
    0.89
    Activations Density 0.333%

    No Known Activations