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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. 14367
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    Explanations

    financial values expressed in euros

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to economic figures or financial statistics

    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
     Lumpur
    -0.64
     Klu
    -0.63
     Defenders
    -0.63
     Mesa
    -0.62
     ii
    -0.60
     Uncle
    -0.60
    etting
    -0.59
     Rouge
    -0.59
     Theodore
    -0.59
     Dill
    -0.58
    POSITIVE LOGITS
    something
    1.44
    percent
    1.40
    minute
    1.39
    plus
    1.37
    odd
    1.36
    year
    1.31
    degree
    1.26
    hour
    1.24
    second
    1.21
    yard
    1.17
    Activations Density 0.060%

    No Known Activations