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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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    references to fast food

    oai_token-act-pair · gpt-3.5-turbo

    references to fast food

    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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    Negative Logits
    ãĤ¨ãĥ«
    -0.77
    20439
    -0.75
    ãĥ£
    -0.73
    OX
    -0.70
    åĬ
    -0.70
    Downloadha
    -0.69
    uph
    -0.69
     Adin
    -0.67
     Izan
    -0.66
    selves
    -0.66
    POSITIVE LOGITS
     restaurants
    0.97
     establishments
    0.95
     restaurant
    0.93
     mogul
    0.91
     outlets
    0.89
     joints
    0.82
     hamb
    0.82
     industry
    0.80
     workers
    0.77
     CEOs
    0.76
    Activations Density 0.088%

    No Known Activations