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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. 11-RES-JB
    11. 14283
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    Explanations

    photographs or images

    oai_token-act-pair · gpt-3.5-turbo

    references to photographs and visual media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rencies
    -0.65
    atism
    -0.65
    selves
    -0.64
    ilib
    -0.62
     sshd
    -0.58
    essage
    -0.57
    bing
    -0.57
    isks
    -0.56
    rient
    -0.56
    ãĥĺ
    -0.55
    POSITIVE LOGITS
     courtesy
    1.00
     Courtesy
    0.95
     COURT
    0.86
     illustration
    0.83
     Illust
    0.81
     Provided
    0.81
     Credit
    0.79
    :
    0.77
     credit
    0.74
     Credits
    0.71
    Activations Density 0.017%

    No Known Activations