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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. 10-RES-JB
    11. 17490
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    Explanations

    words related to different sports activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptoms
    -0.86
     Innocent
    -0.83
     Patient
    -0.82
     Notification
    -0.78
    Instance
    -0.75
    Aff
    -0.74
     UID
    -0.74
    otten
    -0.71
    agents
    -0.70
     disclosures
    -0.69
    POSITIVE LOGITS
     volleyball
    1.71
     tennis
    1.67
     rugby
    1.65
     basketball
    1.61
     gymn
    1.51
     soccer
    1.50
     golf
    1.43
     baseball
    1.41
     boxing
    1.41
     hockey
    1.40
    Activations Density 0.296%

    No Known Activations