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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. 11-RES-JB
    6. 4100
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to financial or economic concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yond
    -0.91
    lying
    -0.73
    enough
    -0.72
    essing
    -0.71
    zens
    -0.71
    æ©
    -0.68
    ifferent
    -0.67
    fitting
    -0.66
    omever
    -0.66
    ×ŀ
    -0.65
    POSITIVE LOGITS
     Award
    1.14
     Challenge
    1.12
     Contest
    1.12
     Celebration
    1.11
     Database
    1.11
     Facility
    1.10
     Program
    1.10
     Programme
    1.09
     Conference
    1.09
     Competition
    1.08
    Activations Density 0.424%

    No Known Activations