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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. 11-RES-JB
    11. 11502
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    Explanations

    mentions of advertisements

    oai_token-act-pair · gpt-3.5-turbo

    instances of advertisements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tremend
    -0.61
     perspect
    -0.59
    aditional
    -0.57
     Boo
    -0.57
     discipl
    -0.57
    vers
    -0.55
     virginity
    -0.54
    nect
    -0.53
     Parables
    -0.52
     Bliss
    -0.52
    POSITIVE LOGITS
     Advertisement
    0.94
    theless
    0.91
    SPONSORED
    0.87
    ↵
    0.87
    <|endoftext|>
    0.72
     Continue
    0.68
    ADVERTISEMENT
    0.68
    usercontent
    0.65
    jamin
    0.64
    idable
    0.63
    Activations Density 0.033%

    No Known Activations