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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. 2-RES-JB
    11. 7432
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    Explanations

    dates and specific numbers

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values and character names from various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.77
    enance
    -0.70
    EStreamFrame
    -0.69
    bleacher
    -0.68
    rely
    -0.64
    tumblr
    -0.61
    cific
    -0.61
     Cardinal
    -0.61
    docker
    -0.61
    asta
    -0.60
    POSITIVE LOGITS
     Citiz
    0.73
     unden
    0.67
     redes
    0.66
     advoc
    0.62
     airline
    0.60
     metic
    0.60
     disadvant
    0.60
    ¹
    0.59
    aho
    0.59
    ĩ
    0.59
    Activations Density 1.792%

    No Known Activations