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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. 6-RES-JB
    11. 13887
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    Explanations

    phrases related to financial markets and stock prices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stock market dynamics and prices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.80
    ttp
    -0.76
    veh
    -0.74
    bestos
    -0.74
    åĤ
    -0.73
    ENE
    -0.69
     Humane
    -0.69
    sonian
    -0.68
    ¯¯¯¯
    -0.68
    icable
    -0.68
    POSITIVE LOGITS
     volatility
    1.19
     prediction
    1.03
     indexes
    1.02
     fluctuations
    1.02
     index
    0.97
    daq
    0.94
     indices
    0.94
     liquidity
    0.91
     forecasting
    0.91
     plunge
    0.91
    Activations Density 0.066%

    No Known Activations