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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. 1-RES-JB
    11. 8911
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    Explanations

    names related to different individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    camp
    -0.83
    Ware
    -0.78
    atchewan
    -0.77
    forth
    -0.77
     Archdemon
    -0.76
    born
    -0.72
    vich
    -0.71
     Raider
    -0.71
    holder
    -0.68
    ouring
    -0.68
    POSITIVE LOGITS
    ocular
    0.90
     Schr
    0.88
    ¥ŀ
    0.82
    heast
    0.81
    ©¶æ¥µ
    0.73
     Giuliani
    0.72
     compr
    0.72
     Macy
    0.70
    ©¶æ
    0.69
     bipolar
    0.68
    Activations Density 0.020%

    No Known Activations