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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. 9-RES-JB
    11. 19839
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    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of characters or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     existed
    -0.66
     exists
    -0.60
    tumblr
    -0.59
    ilater
    -0.59
    shows
    -0.58
    pired
    -0.58
     establishes
    -0.58
    pires
    -0.57
     exceeds
    -0.57
     fulf
    -0.57
    POSITIVE LOGITS
    .
    0.93
     sarcast
    0.80
    _.
    0.80
    .<
    0.74
    enegger
    0.74
    .(
    0.72
    .</
    0.69
    .[
    0.69
    auder
    0.65
    .�
    0.65
    Activations Density 0.231%

    No Known Activations