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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. 19697
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    Explanations

    names of sports teams, particularly the Boston Celtics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Boston and its sports teams

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uador
    -0.81
    merce
    -0.78
    orsche
    -0.75
    awaru
    -0.74
    loading
    -0.72
    aphael
    -0.69
    leted
    -0.69
    uling
    -0.69
    ongyang
    -0.69
    orters
    -0.68
    POSITIVE LOGITS
     Harbor
    1.18
     Globe
    1.16
     Celtics
    1.15
     Bruins
    1.15
     Dynamics
    1.14
     Marathon
    1.08
     Consulting
    1.00
     Garden
    0.97
     2024
    0.94
     College
    0.94
    Activations Density 0.029%

    No Known Activations