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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. 9-RES-JB
    11. 23998
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    Explanations

    words related to education levels, specifically grades ranging from 7 to 10

    oai_token-act-pair · gpt-3.5-turbo

    references to educational grades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bundy
    -0.85
    eers
    -0.84
    pload
    -0.77
    riks
    -0.72
    orial
    -0.71
    nesday
    -0.71
    edia
    -0.71
    ĸļ
    -0.70
    Timeout
    -0.69
    othe
    -0.69
    POSITIVE LOGITS
     grades
    0.87
     rating
    0.77
     grade
    0.73
     kindergarten
    0.70
     insign
    0.69
     grading
    0.66
    children
    0.66
    ific
    0.66
     education
    0.65
     plutonium
    0.64
    Activations Density 0.038%

    No Known Activations