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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. 10874
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    Explanations

    information relating to online social interactions and engagement, particularly involving liking, commenting, sharing, and following posts on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    expressions of the concept of "liking" or endorsements

    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
    Ö¼
    -0.68
     seams
    -0.67
    tein
    -0.66
    ptoms
    -0.64
    deal
    -0.62
    ennes
    -0.62
    =-=-
    -0.62
    ALE
    -0.61
    eval
    -0.60
    oufl
    -0.58
    POSITIVE LOGITS
    lihood
    1.49
    minded
    0.83
    joy
    0.74
    ickets
    0.73
    hovah
    0.64
     Submit
    0.63
    Subscribe
    0.62
    ability
    0.61
     unsub
    0.61
    facebook
    0.60
    Activations Density 0.028%

    No Known Activations