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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 10-RES-JB
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    Explanations

    mentions of elementary schools

    oai_token-act-pair · gpt-3.5-turbo

    references to elementary schools

    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
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -0.79
    76561
    -0.70
    pload
    -0.68
    oidal
    -0.66
    pard
    -0.64
    oice
    -0.63
    ortium
    -0.61
    sten
    -0.61
    olulu
    -0.61
    pez
    -0.60
    POSITIVE LOGITS
     School
    1.52
     school
    1.49
    School
    1.40
    school
    1.40
     SCHOOL
    1.33
     schools
    1.32
    chool
    1.31
     Teachers
    1.27
     Schools
    1.26
     kindergarten
    1.25
    Activations Density 0.082%

    No Known Activations