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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. 3-RES-JB
    11. 13651
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    Explanations

    locations or places, specifically emphasizing markets

    oai_token-act-pair · gpt-3.5-turbo

    references to various markets and their locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.80
    åĤ
    -0.70
    advertisement
    -0.69
    etheless
    -0.68
    ought
    -0.67
    netflix
    -0.66
    ÑĮ
    -0.65
    iveness
    -0.64
    oenix
    -0.64
     enshr
    -0.63
    POSITIVE LOGITS
    places
    0.94
     Market
    0.93
    Market
    0.91
     Ventures
    0.87
     Markets
    0.83
    place
    0.81
     Trader
    0.79
    Watch
    0.78
    eers
    0.77
     Analytics
    0.76
    Activations Density 0.013%

    No Known Activations