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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
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    Explanations

    references to educational institutions, particularly schools

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions, particularly schools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lyak
    -0.74
    sson
    -0.71
    ened
    -0.68
    ifer
    -0.66
    Item
    -0.65
    Tracker
    -0.63
    opus
    -0.63
     Wraith
    -0.61
    VP
    -0.61
    anium
    -0.58
    POSITIVE LOGITS
     schools
    3.67
     Schools
    2.88
     colleges
    2.40
     universities
    2.36
    School
    2.34
     classrooms
    2.27
     school
    2.27
    school
    2.15
     acad
    2.08
     campuses
    2.01
    Activations Density 0.019%

    No Known Activations