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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. 6-RES-JB
    11. 13484
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    Explanations

    proper nouns related to various persons and places

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to sports injuries and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    yip
    -0.70
     glim
    -0.68
     unchecked
    -0.68
     Pavilion
    -0.62
     rusty
    -0.61
     hypers
    -0.61
     uncom
    -0.60
     swell
    -0.59
    éĹ
    -0.59
     Fenrir
    -0.59
    POSITIVE LOGITS
    ption
    0.82
    ember
    0.81
    ciating
    0.80
    agement
    0.80
    ãĥīãĥ©
    0.78
    aign
    0.77
    dule
    0.76
    ãĤ¨ãĥ«
    0.76
    ãĤ·ãĥ£
    0.75
    mination
    0.72
    Activations Density 0.049%

    No Known Activations