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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. 4-RES-JB
    11. 15937
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    Explanations

    various social media platforms and the word "all" in contexts related to commitment or belief in a cause

    oai_token-act-pair · gpt-3.5-turbo

    social media platform names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.88
     fors
    -0.73
     manif
    -0.72
    issan
    -0.70
     hardness
    -0.69
     unaccount
    -0.68
     tampering
    -0.66
     weld
    -0.66
    heet
    -0.65
     appar
    -0.63
    POSITIVE LOGITS
    Comments
    0.95
    Pinterest
    0.94
    Reddit
    0.94
    20439
    0.92
    Tumblr
    0.90
    Email
    0.88
    Interstitial
    0.86
    ãĥ´ãĤ¡
    0.86
    Anonymous
    0.86
    Pocket
    0.84
    Activations Density 0.145%

    No Known Activations