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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. 11-RES-JB
    11. 15674
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    Explanations

    proper nouns, especially names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Lumpur
    -0.69
     TAMADRA
    -0.58
    _-
    -0.57
    èª
    -0.57
    wcs
    -0.57
     Nadu
    -0.54
    ãĥģ
    -0.54
     ANGEL
    -0.54
    20439
    -0.54
    è£ħ
    -0.52
    POSITIVE LOGITS
    enhagen
    0.88
    xon
    0.72
    ricks
    0.65
    ulic
    0.63
    olin
    0.60
    apt
    0.60
    isch
    0.59
    arrass
    0.59
    anson
    0.58
    avier
    0.57
    Activations Density 0.120%

    No Known Activations