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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. 12-RES-JB
    11. 3289
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    Explanations

    terms related to teaching and education

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to educational activities and teaching experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.82
    trak
    -0.75
    ãĤ»
    -0.74
    axy
    -0.70
    ablished
    -0.69
     Pwr
    -0.68
    reens
    -0.68
    ãĥ¼ãĥ³
    -0.67
    adish
    -0.67
    76561
    -0.66
    POSITIVE LOGITS
     youngsters
    0.95
     kids
    0.94
    classes
    0.94
     lessons
    0.93
     kindergarten
    0.91
    children
    0.89
     children
    0.86
     lesson
    0.86
     fundamentals
    0.85
     pupils
    0.85
    Activations Density 0.103%

    No Known Activations