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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. 9-RES-JB
    6. 18832
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    Explanations

    references to behavior or actions related to conducting oneself in a specific manner

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "conduct" and its variations, typically in contexts related to behavior or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cube
    -0.66
    Kids
    -0.64
    istan
    -0.64
    corn
    -0.64
     Nightmares
    -0.63
    LOAD
    -0.60
     NCT
    -0.60
    username
    -0.60
    iewicz
    -0.59
    arger
    -0.59
    POSITIVE LOGITS
    ivity
    1.18
    ors
    1.17
    uations
    1.01
    ivities
    0.94
    ional
    0.94
    ively
    0.89
    onduct
    0.87
    ives
    0.85
    atted
    0.85
    ive
    0.82
    Activations Density 0.060%

    No Known Activations