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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. 16856
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    Explanations

    expressions of gratitude or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases thanking or acknowledging participation or viewership

    oai_token-act-pair · gpt-3.5-turbo
    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
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    Negative Logits
    tein
    -0.63
    rast
    -0.59
    uality
    -0.58
    ,,,,
    -0.55
    monds
    -0.55
     Vision
    -0.54
     Opt
    -0.54
     bald
    -0.54
     eg
    -0.53
    iership
    -0.52
    POSITIVE LOGITS
    interstitial
    0.75
    advertisement
    0.71
    amas
    0.66
    umbnails
    0.66
    icker
    0.63
     Continue
    0.61
    ilon
    0.60
    allery
    0.59
    isan
    0.59
    wcsstore
    0.59
    Activations Density 0.020%

    No Known Activations