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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. 3-RES-JB
    11. 12376
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    INDEX
    Explanations

    phrases starting with "a typical"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "typical" and phrases describing common or standard situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Starship
    -0.80
    ole
    -0.69
    heed
    -0.67
    aska
    -0.67
    hips
    -0.65
    isson
    -0.63
    nuts
    -0.62
     Shang
    -0.61
    uddin
    -0.61
    zon
    -0.61
    POSITIVE LOGITS
     deviations
    0.84
     deviation
    0.81
    typ
    0.79
     occurrences
    0.73
     embodiments
    0.69
    é¾įå¥ij士
    0.69
     typical
    0.68
     defaults
    0.66
     fare
    0.65
     responses
    0.65
    Activations Density 0.021%

    No Known Activations