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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    loops in a programming context

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the term "loop" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.81
    hiro
    -0.70
    xious
    -0.66
    ALE
    -0.66
    ilings
    -0.62
     FANTASY
    -0.61
     commodities
    -0.61
     Occupations
    -0.61
    imens
    -0.61
    selling
    -0.61
    POSITIVE LOGITS
     loop
    0.95
    worms
    0.87
    ingly
    0.83
    worm
    0.81
     loops
    0.81
    ieu
    0.79
    wheel
    0.78
    illance
    0.73
     Loop
    0.73
    loop
    0.73
    Activations Density 0.006%

    No Known Activations