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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. 11-RES-JB
    11. 11397
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    Explanations

    references to actions related to sports or game situations

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring and goal-related actions in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.74
    Introduced
    -0.73
    weekly
    -0.69
     neoc
    -0.66
     hiring
    -0.65
     outfits
    -0.65
     recruiting
    -0.65
    ernels
    -0.64
    enegger
    -0.64
    exper
    -0.64
    POSITIVE LOGITS
     bounces
    1.12
     batted
    1.07
     misses
    1.04
     intercepted
    1.01
     missed
    1.00
     sailed
    1.00
     ric
    0.98
     swung
    0.96
     bounced
    0.96
     volley
    0.94
    Activations Density 0.255%

    No Known Activations