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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. 3-RES-JB
    11. 18566
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    Explanations

    references to specific time periods or historical eras

    oai_token-act-pair · gpt-3.5-turbo

    references to different historical eras or periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sie
    -0.85
     mathemat
    -0.84
    olulu
    -0.79
    liga
    -0.78
    sd
    -0.76
    su
    -0.74
    doms
    -0.72
    intosh
    -0.72
    regor
    -0.70
    cards
    -0.70
    POSITIVE LOGITS
    era
    0.80
    ffiti
    0.75
    BILITY
    0.74
    ufact
    0.69
    Äĩ
    0.69
     Scotia
    0.68
     Era
    0.67
    ption
    0.67
    Ø©
    0.66
    igslist
    0.65
    Activations Density 0.013%

    No Known Activations