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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
    11. 12441
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    Explanations

    specific references to 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 @ 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
    IBLE
    -0.76
    ibly
    -0.73
    vernment
    -0.72
    oidal
    -0.71
    vier
    -0.68
    ious
    -0.64
     bin
    -0.63
    女
    -0.63
    afort
    -0.62
    uble
    -0.61
    POSITIVE LOGITS
     School
    1.42
    landers
    1.31
    school
    1.15
    lighting
    1.05
    ways
    0.98
     Schools
    0.97
    light
    0.96
    nesses
    0.94
    School
    0.92
    smith
    0.91
    Activations Density 0.024%

    No Known Activations