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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. 1-RES-JB
    11. 13131
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    Explanations

    proper nouns related to historical events or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cycle
    -0.75
    ellen
    -0.75
    osity
    -0.75
    grain
    -0.75
     Annotations
    -0.74
    uary
    -0.73
    atin
    -0.69
     Grain
    -0.69
    eering
    -0.69
    ga
    -0.69
    POSITIVE LOGITS
     pals
    0.95
     Vlad
    0.91
     Falk
    0.85
     delusional
    0.75
     afore
    0.74
     Canucks
    0.74
     hypot
    0.73
     challeng
    0.72
     Aires
    0.70
     brim
    0.70
    Activations Density 0.020%

    No Known Activations