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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. 6-RES-JB
    11. 11619
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    Explanations

    descriptions of sports actions, specifically related to soccer

    oai_token-act-pair · gpt-3.5-turbo

    actions related to sports events, particularly those involving goals and shots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.91
    Appearance
    -0.84
     MFT
    -0.78
    é¾įå¥ij士
    -0.75
    rities
    -0.71
     certs
    -0.70
    tan
    -0.70
    netflix
    -0.70
    natureconservancy
    -0.69
    TeX
    -0.68
    POSITIVE LOGITS
     clutch
    0.96
     teammate
    0.93
     stopp
    0.92
     scorer
    0.91
     scoring
    0.85
    assisted
    0.85
     puck
    0.81
     touchdown
    0.80
     volley
    0.77
     assisted
    0.75
    Activations Density 0.386%

    No Known Activations