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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. 218
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    Explanations

    soccer-related phrases, particularly actions and events happening during a soccer game

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns associated with sports events and players

    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
    netflix
    -0.78
    soType
    -0.71
    stories
    -0.69
    channelAvailability
    -0.67
    isSpecialOrderable
    -0.66
     Restrict
    -0.65
     VICE
    -0.65
    advertisement
    -0.64
     Subject
    -0.64
     Belief
    -0.64
    POSITIVE LOGITS
     scored
    1.22
     slid
    1.10
     nailed
    1.09
     fou
    1.08
     collided
    1.06
     drilled
    1.06
     volley
    1.06
     threw
    1.06
     drib
    1.05
     intercepted
    1.03
    Activations Density 0.144%

    No Known Activations