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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. 21860
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    Explanations

    references to specific conferences or associations with acronyms in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations and associations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Ply
    -0.81
     Kol
    -0.75
     Kris
    -0.73
     Rubio
    -0.72
     Vaughn
    -0.72
     Preston
    -0.71
     Pes
    -0.70
     Pocket
    -0.69
     Lenovo
    -0.69
     Vin
    -0.68
    POSITIVE LOGITS
    AA
    1.37
    AE
    1.24
     AA
    1.22
    AAA
    1.18
     AQ
    1.17
     Ao
    1.17
     AE
    1.14
     AJ
    1.14
    AAAA
    1.14
     ASA
    1.12
    Activations Density 1.045%

    No Known Activations