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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. 8-RES-JB
    6. 20944
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    Explanations

    large monetary amounts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of monetary values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     insofar
    -0.61
    arte
    -0.61
    aways
    -0.60
    GGGGGGGG
    -0.60
    querque
    -0.60
    igrants
    -0.60
    Stud
    -0.59
    ufact
    -0.59
     swall
    -0.57
    igham
    -0.57
    POSITIVE LOGITS
    -$
    1.22
     billion
    1.11
    million
    1.09
    billion
    1.07
     million
    1.03
     Billion
    0.99
     trillion
    0.88
     dollar
    0.83
     Million
    0.83
     bill
    0.82
    Activations Density 0.100%

    No Known Activations