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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. 10-RES-JB
    11. 13658
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    Explanations

    mentions of different grade levels in an educational context

    oai_token-act-pair · gpt-3.5-turbo

    references to educational grade levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    eers
    -0.89
    omorphic
    -0.80
     Bundy
    -0.80
    acles
    -0.80
    jen
    -0.71
    reprene
    -0.71
    ohyd
    -0.69
    uthor
    -0.69
    oÄŁ
    -0.69
    ogene
    -0.68
    POSITIVE LOGITS
     grades
    1.03
     grade
    0.84
     kindergarten
    0.82
     rating
    0.79
     grading
    0.79
    school
    0.76
     insign
    0.76
     school
    0.75
     education
    0.74
     SCHOOL
    0.73
    Activations Density 0.025%

    No Known Activations