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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. 6447
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    Explanations

    photographers and labels

    oai_token-act-pair · gpt-3.5-turbo

    references to stock images 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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    Negative Logits
     oun
    -0.81
    ccording
    -0.81
     tremend
    -0.80
     earthqu
    -0.76
    è¦ļéĨĴ
    -0.76
    NetMessage
    -0.75
    Ă
    -0.73
    ą
    -0.73
    StreamerBot
    -0.73
    ö
    -0.72
    POSITIVE LOGITS
    Getty
    0.89
    AFP
    0.82
     Images
    0.82
     IMAGES
    0.74
    Courtesy
    0.74
    Image
    0.70
    EPA
    0.70
     Associated
    0.67
    Photo
    0.67
    photo
    0.67
    Activations Density 0.032%

    No Known Activations