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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. 2479
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    Explanations

    references to football clubs

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to Juventus Football Club

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Olivier
    -0.57
     Little
    -0.56
     Slater
    -0.55
     initials
    -0.55
     IST
    -0.54
     limbs
    -0.54
     Phillip
    -0.53
     Blessed
    -0.53
     reass
    -0.52
     sake
    -0.52
    POSITIVE LOGITS
    xtap
    1.56
    arez
    1.46
    ventus
    1.28
    icy
    1.24
    icer
    1.21
    iced
    1.20
    Ju
    1.14
    illet
    1.11
    ju
    1.11
    icing
    1.06
    Activations Density 0.026%

    No Known Activations