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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
    11. 9944
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    Explanations

    titles and degrees related to academic qualifications

    oai_token-act-pair · gpt-3.5-turbo

    medical degrees and professional titles

    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
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    No Comments

    Negative Logits
     margins
    -0.68
     flights
    -0.64
    Synopsis
    -0.64
     layers
    -0.63
     bumper
    -0.62
     stages
    -0.62
     ponies
    -0.62
     stories
    -0.61
     proxies
    -0.61
     gor
    -0.60
    POSITIVE LOGITS
    .,
    0.91
    jri
    0.72
    uably
    0.72
    hematic
    0.71
    hedral
    0.71
    roit
    0.70
    retty
    0.70
     Supervisor
    0.69
    join
    0.68
    icably
    0.68
    Activations Density 0.108%

    No Known Activations