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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. 12028
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    Explanations

    phrases related to a specific sports team's name

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names related to people and teams

    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
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.88
    byss
    -0.84
    ļéĨĴ
    -0.78
    xon
    -0.78
    ulkan
    -0.74
    DEN
    -0.73
    rawdownloadcloneembedreportprint
    -0.72
    ption
    -0.71
    dit
    -0.70
     Sakuya
    -0.70
    POSITIVE LOGITS
    orns
    1.35
    orn
    1.12
    urst
    1.09
    orne
    0.99
    awk
    0.96
    ornia
    0.95
    ouses
    0.94
    orse
    0.93
    ancies
    0.89
    arious
    0.88
    Activations Density 0.022%

    No Known Activations