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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. 8-RES-JB
    11. 2387
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    Explanations

    technical terms related to sports and action sequences

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to sports performance and action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MIT
    -0.81
     Journals
    -0.78
     Smithsonian
    -0.77
     NPR
    -0.76
     PBS
    -0.71
     ISBN
    -0.69
     UNESCO
    -0.68
    CNN
    -0.67
     Publication
    -0.67
     Parents
    -0.66
    POSITIVE LOGITS
     defensively
    1.02
     offensively
    1.01
     firepower
    0.95
     synergy
    0.95
     deft
    0.94
     midfield
    0.92
     aggressive
    0.91
     synerg
    0.91
     clutch
    0.89
     tempo
    0.89
    Activations Density 1.118%

    No Known Activations