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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. 9-RES-JB
    11. 13852
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    Explanations

    locations such as stores, shops, and other establishments

    oai_token-act-pair · gpt-3.5-turbo

    locations and establishments within the community

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    åĬ
    -0.83
    ãģĦ
    -0.78
    è¦ļéĨĴ
    -0.77
    cloud
    -0.75
    20439
    -0.73
    æŃ
    -0.73
    pair
    -0.72
    nesota
    -0.71
    İĭ
    -0.70
    izoph
    -0.69
    POSITIVE LOGITS
     kios
    1.09
     attendant
    1.06
     frequ
    1.04
     attendants
    1.04
     entrance
    1.03
     restroom
    1.03
     clerk
    1.01
     pharmacy
    0.99
     doors
    0.98
     entrances
    0.97
    Activations Density 0.269%

    No Known Activations