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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. 0-RES-JB
    11. 1147
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    Explanations

    social media platforms, especially Reddit

    oai_token-act-pair · gpt-3.5-turbo

    references to social media platforms, particularly Reddit

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulo
    -0.67
    endum
    -0.67
    ulously
    -0.64
    :]
    -0.64
     +---
    -0.63
     tyr
    -0.62
     tune
    -0.62
    atche
    -0.62
     foil
    -0.61
    /"
    -0.60
    POSITIVE LOGITS
    reddit
    2.07
    Beg
    1.43
    reddits
    0.95
     Cosponsors
    0.83
     Confederation
    0.78
     disappro
    0.73
     IST
    0.70
    mist
    0.69
    vier
    0.69
     Beg
    0.69
    Activations Density 0.005%

    No Known Activations