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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. 215
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    Explanations

    performers and professionals in various industries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to performers and professionals in the entertainment industry

    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
    illance
    -0.75
    OLOG
    -0.68
    OLOGY
    -0.68
    States
    -0.66
    izontal
    -0.66
    ologic
    -0.65
    sole
    -0.65
    ovo
    -0.65
    arest
    -0.64
    rection
    -0.64
    POSITIVE LOGITS
    hip
    1.19
    hips
    1.17
     Jonah
    1.09
     Joel
    1.08
     David
    1.08
     Cheryl
    1.07
     John
    1.05
     Greg
    1.04
     Matthew
    1.04
     Quentin
    1.04
    Activations Density 0.333%

    No Known Activations