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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. 9-RES-JB
    11. 11686
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    Explanations

    phrases related to financial matters and discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial outcomes or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     sacked
    -0.70
     blot
    -0.69
     censored
    -0.68
     aven
    -0.66
     graz
    -0.66
     shot
    -0.65
     totaled
    -0.65
     totality
    -0.65
     closest
    -0.65
     embassy
    -0.62
    POSITIVE LOGITS
    Fortunately
    1.20
    Well
    1.14
    Thankfully
    1.12
    Luckily
    1.06
    Enter
    1.05
    advertisement
    1.03
    Today
    1.01
    Recently
    0.99
    Researchers
    0.97
    Unfortunately
    0.95
    Activations Density 0.398%

    No Known Activations