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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. 8-RES-JB
    11. 13092
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    INDEX
    Explanations

    adjectives describing qualities or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to performance and capabilities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    HOME
    -0.83
    initions
    -0.81
     Taste
    -0.71
    UNE
    -0.66
     Dictionary
    -0.64
    iage
    -0.64
     NCT
    -0.62
     Anger
    -0.61
     Leap
    -0.60
    olutions
    -0.60
    POSITIVE LOGITS
    ishly
    1.25
    able
    1.21
    lessly
    1.21
    less
    1.13
    ably
    1.13
    worthy
    1.11
    fully
    1.09
    ously
    1.04
    arily
    1.02
    ically
    1.01
    Activations Density 0.430%

    No Known Activations