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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. 18489
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    Explanations

    mentions of specific middle schools

    oai_token-act-pair · gpt-3.5-turbo

    references to "Middle" followed by a numeral

    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
    quit
    -0.77
    kefeller
    -0.74
    gnu
    -0.72
    atche
    -0.72
    ulously
    -0.71
    ibility
    -0.70
    ggle
    -0.69
    nant
    -0.69
    atered
    -0.68
    vernment
    -0.68
    POSITIVE LOGITS
     School
    1.00
     SCHOOL
    0.87
    brow
    0.85
     school
    0.85
    School
    0.81
    bury
    0.79
    weights
    0.79
     finger
    0.76
    ton
    0.76
    wick
    0.75
    Activations Density 0.028%

    No Known Activations