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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7570
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    Explanations

    terms related to financial trading and market prices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to trading and market activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ensu
    -0.80
     compulsory
    -0.79
    SPONSORED
    -0.72
    æĪ¦
    -0.71
     Ballistic
    -0.70
    ILE
    -0.70
    Meat
    -0.69
     carcin
    -0.68
    accompanied
    -0.68
     quarantine
    -0.67
    POSITIVE LOGITS
    daq
    1.18
     volatility
    1.08
     brokerage
    0.97
     hedge
    0.93
     transactions
    0.93
     fluctuations
    0.92
     liquidity
    0.91
    folio
    0.91
     investors
    0.90
     value
    0.88
    Activations Density 0.120%

    No Known Activations