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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. 11762
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    INDEX
    Explanations

    sporting events or competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports finals and semifinal events

    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
    otrop
    -0.75
    organic
    -0.74
    atem
    -0.74
    ando
    -0.70
    erd
    -0.69
    irit
    -0.68
    ensibly
    -0.67
    direction
    -0.66
    onto
    -0.65
    axis
    -0.65
    POSITIVE LOGITS
     MVP
    0.93
     Finals
    0.91
     playoff
    0.88
     halftime
    0.81
     defeat
    0.80
     finals
    0.80
     qualifier
    0.80
     opener
    0.80
     festivities
    0.78
     rematch
    0.77
    Activations Density 0.071%

    No Known Activations