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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. 10-RES-JB
    6. 228
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    Explanations

    phrases related to financial changes such as cuts, freezes, rises, hikes, reductions, and spikes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to changes in economic factors, such as prices and rates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Maps
    -0.75
    ofi
    -0.70
    Lens
    -0.66
    SOURCE
    -0.65
     Alto
    -0.65
    ä¹ĭ
    -0.65
    inite
    -0.64
    PLAY
    -0.64
    Ward
    -0.62
    Zip
    -0.62
    POSITIVE LOGITS
     instituted
    0.79
     plag
    0.79
     initiated
    0.78
     announcements
    0.75
     effected
    0.75
     frenzy
    0.75
     looms
    0.74
     announcement
    0.73
     occurring
    0.72
     attendant
    0.72
    Activations Density 0.238%

    No Known Activations