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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. 7-RES-JB
    6. 8114
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    Explanations

    terms related to financial matters, specifically referring to rate hikes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial increases or escalations, specifically focusing on hikes and increases in rates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istar
    -0.76
    mia
    -0.76
    strate
    -0.75
    Ò
    -0.75
    rome
    -0.73
    english
    -0.73
    Gamer
    -0.71
    ð
    -0.71
    76561
    -0.70
    mic
    -0.69
    POSITIVE LOGITS
     averaging
    0.91
     depreciation
    0.86
    xual
    0.85
     taxes
    0.79
     entitle
    0.78
     levied
    0.75
    baugh
    0.75
     tariffs
    0.74
    backs
    0.73
     revenues
    0.73
    Activations Density 0.061%

    No Known Activations