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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. 10-RES-JB
    11. 22170
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    Explanations

    specific mentions of high schools

    oai_token-act-pair · gpt-3.5-turbo

    references to high schools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBLE
    -0.85
    arium
    -0.80
    ibly
    -0.75
    oidal
    -0.73
    vernment
    -0.72
    ible
    -0.70
    ĸļ
    -0.70
    itte
    -0.67
    vier
    -0.66
    icate
    -0.63
    POSITIVE LOGITS
    landers
    1.34
     School
    1.22
    lighting
    1.07
    school
    1.06
    light
    0.97
    ways
    0.94
    lander
    0.90
    nesses
    0.88
     school
    0.87
     Schools
    0.85
    Activations Density 0.033%

    No Known Activations