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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. 813
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    Explanations

    research-related terms and actions, such as "analyzed," "surveyed," and "gathered data."

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating data analysis or research studies

    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
    inventoryQuantity
    -0.85
    âĺ
    -0.74
    Anyway
    -0.72
    .$
    -0.70
    Solution
    -0.69
    iHUD
    -0.69
    TRUMP
    -0.68
    lest
    -0.68
     someday
    -0.68
    sic
    -0.67
    POSITIVE LOGITS
     respondents
    1.01
     samples
    1.00
     276
    0.97
     participants
    0.96
     377
    0.96
     284
    0.95
     371
    0.95
     volunteers
    0.94
     278
    0.94
     379
    0.94
    Activations Density 0.227%

    No Known Activations