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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. 3-RES-JB
    11. 13019
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    Explanations

    mentions of specific names, particularly the name "Edmund Burke" and various other names such as "Quentin" and "Bryce"

    oai_token-act-pair · gpt-3.5-turbo

    the names of notable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.88
    yk
    -0.82
    rieg
    -0.76
    iveness
    -0.74
    alg
    -0.73
    notation
    -0.71
    acs
    -0.70
    wana
    -0.70
    ktop
    -0.70
    hell
    -0.69
    POSITIVE LOGITS
     Edmund
    0.99
     Bryce
    0.98
     Canyon
    0.94
     Duff
    0.84
     Grayson
    0.82
     Hale
    0.82
     Fitzgerald
    0.82
     Wright
    0.80
    Collins
    0.79
    ayson
    0.77
    Activations Density 0.005%

    No Known Activations