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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. 9505
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    Explanations

    phrases related to accomplishments or notable achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "world" 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
    veyard
    -1.00
    WARE
    -0.89
    shapeshifter
    -0.81
    ibility
    -0.79
    ippi
    -0.79
    aturday
    -0.79
    maid
    -0.78
    MENTS
    -0.75
    merce
    -0.75
    EStream
    -0.75
    POSITIVE LOGITS
    wide
    0.91
     renown
    0.81
     premiere
    0.80
     wide
    0.76
    icz
    0.75
     heavyweight
    0.73
     renowned
    0.72
     Airways
    0.72
     outlook
    0.71
     championship
    0.70
    Activations Density 0.058%

    No Known Activations