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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. 5463
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    Explanations

    mentions of elementary schools

    oai_token-act-pair · gpt-3.5-turbo

    references to elementary schools and related educational institutions

    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
    redo
    -0.85
    atra
    -0.73
    odon
    -0.71
    pard
    -0.71
    onyms
    -0.67
    obin
    -0.67
    idine
    -0.66
    pez
    -0.66
    thy
    -0.66
    ethy
    -0.66
    POSITIVE LOGITS
     Teachers
    1.33
     classrooms
    1.28
     kindergarten
    1.28
     teachers
    1.23
    chool
    1.22
     classroom
    1.21
    School
    1.19
     school
    1.18
     kinderg
    1.17
     preschool
    1.15
    Activations Density 0.109%

    No Known Activations