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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. 9-RES-JB
    11. 13750
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    Explanations

    phrases related to device errors or unsupported media playback

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating media playback issues on devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EVA
    -0.63
    Closure
    -0.62
    ccording
    -0.61
    rolled
    -0.60
    hon
    -0.59
     Gork
    -0.59
    naire
    -0.58
    Congratulations
    -0.57
    mails
    -0.57
    ortment
    -0.56
    POSITIVE LOGITS
    iframe
    0.79
    outube
    0.76
     unsupported
    0.63
    fps
    0.62
    screen
    0.60
    erous
    0.59
    intosh
    0.58
    np
    0.58
     embed
    0.58
    ilib
    0.55
    Activations Density 0.020%

    No Known Activations