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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. 11-RES-JB
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    Explanations

    references to elementary schools

    oai_token-act-pair · gpt-3.5-turbo

    references to elementary schools and related educational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    idered
    -0.71
    pload
    -0.70
    76561
    -0.70
    than
    -0.69
    redo
    -0.69
    asel
    -0.67
    pard
    -0.67
    idine
    -0.67
    ALSE
    -0.67
    athing
    -0.65
    POSITIVE LOGITS
     school
    1.34
     School
    1.27
     schools
    1.26
     kindergarten
    1.25
    school
    1.22
     classrooms
    1.22
    School
    1.19
     kinderg
    1.19
     preschool
    1.14
     Teachers
    1.14
    Activations Density 0.079%

    No Known Activations