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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. 12-RES-JB
    11. 4541
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    Explanations

    information related to individuals' personal backgrounds, achievements, educational history, and associations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of educational institutions or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artifacts
    -0.66
    ãĤª
    -0.65
    usercontent
    -0.64
     inval
    -0.62
    Accessory
    -0.62
    éĹĺ
    -0.62
    ounters
    -0.60
    ãĥ«
    -0.60
    tons
    -0.60
     gp
    -0.60
    POSITIVE LOGITS
     Brigham
    1.00
     Whitman
    0.96
     Rutgers
    0.96
     Vanderbilt
    0.95
     Emerson
    0.95
     Wesley
    0.95
     Northwestern
    0.94
     Yale
    0.93
     Dartmouth
    0.93
     Bowling
    0.93
    Activations Density 0.145%

    No Known Activations