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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. 4-RES-JB
    11. 4154
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    INDEX
    Explanations

    words related to something usual or expected

    oai_token-act-pair · gpt-3.5-turbo

    the word "typical" in various contexts

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

    No Comments

    Negative Logits
    nuts
    -0.72
    heed
    -0.71
     Starship
    -0.70
    strings
    -0.68
    hips
    -0.66
     wrest
    -0.66
    inth
    -0.65
    acus
    -0.64
    aska
    -0.63
    hani
    -0.63
    POSITIVE LOGITS
     deviation
    0.85
    typ
    0.85
     deviations
    0.81
     fare
    0.70
     weekday
    0.70
     occurrences
    0.67
     partName
    0.67
     typical
    0.67
     aspir
    0.67
     embodiments
    0.67
    Activations Density 0.027%

    No Known Activations