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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. 14850
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    Explanations

    phrases related to legal or formal procedures

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "In X," where X represents varying contexts or situations

    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
     ®
    -0.68
    :/
    -0.67
     bestowed
    -0.65
     based
    -0.59
     respectfully
    -0.59
     unemploy
    -0.59
     bandwagon
    -0.58
    Platform
    -0.58
    Root
    -0.58
     subscrib
    -0.57
    POSITIVE LOGITS
    jured
    1.43
    juries
    1.37
     addition
    1.22
    adequ
    1.20
    mates
    1.14
    expensive
    1.09
    spect
    1.09
     contrast
    1.07
    flation
    1.03
    jection
    1.02
    Activations Density 0.156%

    No Known Activations