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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. 12-RES-JB
    11. 3817
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    Explanations

    comments or discussions in a sports context, particularly regarding team performance and decision-making

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    statements reflecting opinions or beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     millenn
    -1.51
     satell
    -1.50
     volunte
    -1.46
    ¥ŀ
    -1.43
     hemor
    -1.41
     tremend
    -1.40
     notor
    -1.39
     eleph
    -1.36
     gobl
    -1.34
     neighb
    -1.34
    POSITIVE LOGITS
     Hopefully
    1.23
     Obviously
    1.21
     Players
    1.21
     Winning
    1.19
     Mourinho
    1.19
     Playing
    1.18
    Football
    1.18
     Teams
    1.16
    Manchester
    1.14
    Liverpool
    1.13
    Activations Density 0.187%

    No Known Activations