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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 15904
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    Explanations

    the word "undercover" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to undercover operations and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cing
    -0.72
    RR
    -0.71
    plex
    -0.71
     Preferred
    -0.68
    ogy
    -0.68
    Sym
    -0.68
    È
    -0.67
     Habit
    -0.67
     Pwr
    -0.67
    gran
    -0.65
    POSITIVE LOGITS
     undercover
    1.41
     informant
    1.03
     infiltr
    0.87
     sting
    0.82
     mole
    0.79
     informants
    0.79
     posing
    0.78
     uncover
    0.76
     spying
    0.76
     narcotics
    0.75
    Activations Density 0.009%

    No Known Activations