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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. 0-RES-JB
    11. 569
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    Explanations

    mentions of schools

    oai_token-act-pair · gpt-3.5-turbo

    mentions of educational institutions

    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
    ipes
    -0.68
    dor
    -0.66
    igate
    -0.66
    Layer
    -0.65
    Host
    -0.63
    Ps
    -0.61
     Tokens
    -0.61
    metry
    -0.61
    available
    -0.60
    ifer
    -0.60
    POSITIVE LOGITS
     school
    3.54
    school
    2.90
    School
    2.81
     School
    2.59
     schools
    2.55
     SCHOOL
    2.42
     university
    2.11
     Schools
    2.11
     schooling
    1.96
     college
    1.90
    Activations Density 0.023%

    No Known Activations