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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. 8-RES-JB
    11. 4879
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    Explanations

    years mentioned in texts

    oai_token-act-pair · gpt-3.5-turbo

    specific years mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orney
    -0.73
    instead
    -0.73
     withd
    -0.72
    lass
    -0.70
    prime
    -0.69
    phy
    -0.69
    amn
    -0.68
    ess
    -0.68
    aiman
    -0.68
    ollow
    -0.68
    POSITIVE LOGITS
    å¹
    1.52
    天
    0.89
     Edition
    0.88
     EDITION
    0.88
     INTER
    0.80
     edition
    0.78
     Nobel
    0.77
    åħī
    0.76
     WCS
    0.72
     Yamaha
    0.71
    Activations Density 0.092%

    No Known Activations