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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. 8-RES-JB
    11. 8143
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    Explanations

    references to 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulkan
    -0.73
    redo
    -0.73
    idity
    -0.72
    ila
    -0.69
    ————————————————
    -0.67
    inates
    -0.66
    ————
    -0.65
    sten
    -0.65
    cific
    -0.65
    pez
    -0.63
    POSITIVE LOGITS
     school
    1.15
     Teachers
    1.09
     School
    1.08
    chool
    1.06
    school
    1.04
    School
    1.03
     SCHOOL
    1.01
     schools
    0.99
     classrooms
    0.97
     kinderg
    0.96
    Activations Density 0.055%

    No Known Activations