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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. 7-RES-JB
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    Explanations

    hospitals and educational institutions in text

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals and educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fun
    -0.75
     proof
    -0.69
     manufacturers
    -0.65
     breed
    -0.64
     revolutions
    -0.64
     labour
    -0.64
     therm
    -0.63
     queen
    -0.63
     pes
    -0.63
    relations
    -0.63
    POSITIVE LOGITS
     Complex
    1.02
     Hospital
    0.97
     Branch
    0.97
     Station
    0.96
     District
    0.92
     Corpus
    0.91
     Cemetery
    0.90
     Facility
    0.90
     Campus
    0.90
     Observatory
    0.88
    Activations Density 0.111%

    No Known Activations