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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. 5-RES-JB
    6. 6284
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    Explanations

    phrases related to crime and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    references to crime and violence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     yourselves
    -0.62
    speak
    -0.58
     denotes
    -0.56
     recognizes
    -0.54
    iple
    -0.53
     DOES
    -0.53
     Definitions
    -0.53
    !:
    -0.51
     concise
    -0.50
    wise
    -0.50
    POSITIVE LOGITS
     allegedly
    0.60
     nightclub
    0.60
     Olympia
    0.59
     assailant
    0.56
     injuring
    0.55
     assailants
    0.54
     illegally
    0.54
     ecstasy
    0.53
    stasy
    0.53
     overrun
    0.52
    Activations Density 1.880%

    No Known Activations