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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. 4846
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    INDEX
    Explanations

    phrases indicating emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "that"

    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
    rior
    -0.73
    hips
    -0.66
    istics
    -0.64
    "],"
    -0.61
    IVERS
    -0.61
     Mane
    -0.61
    IUM
    -0.59
     Recover
    -0.59
     Corps
    -0.59
    english
    -0.59
    POSITIVE LOGITS
     pesky
    1.09
     fateful
    1.04
     kind
    0.85
     same
    0.81
    cher
    0.81
     mattered
    0.78
     particular
    0.73
     sort
    0.73
     entails
    0.72
     culminated
    0.72
    Activations Density 0.559%

    No Known Activations