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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. 4-RES-JB
    11. 4144
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    Explanations

    phrases related to physical racks and storage structures

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "rack."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Austral
    -0.65
     Garc
    -0.64
     Guerrero
    -0.63
     Samoa
    -0.63
     Greenland
    -0.63
     wills
    -0.61
    éĸ
    -0.61
     Samar
    -0.61
     Canberra
    -0.61
     Kashmir
    -0.60
    POSITIVE LOGITS
    washer
    1.07
     racks
    1.05
    acks
    1.04
     rack
    1.00
    cloth
    0.99
    yard
    0.93
    artisan
    0.92
    ings
    0.91
    ety
    0.89
    tops
    0.87
    Activations Density 0.009%

    No Known Activations