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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. 8889
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to media playback issues

    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
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    Negative Logits
    omics
    -0.65
     mete
    -0.63
     dism
    -0.61
     shrew
    -0.61
     Reincarn
    -0.61
    aunder
    -0.59
     recl
    -0.59
    »Ĵ
    -0.58
    ĪĴ
    -0.58
    naire
    -0.57
    POSITIVE LOGITS
     WATCH
    0.74
     playback
    0.73
     caption
    0.71
     copyright
    0.70
    UTERS
    0.70
    :/
    0.70
     Videos
    0.70
    taboola
    0.68
     EVENT
    0.68
     Highlights
    0.67
    Activations Density 0.010%

    No Known Activations