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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. 23302
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    Explanations

    phrases related to news articles or media captions

    oai_token-act-pair · gpt-3.5-turbo

    references to photos

    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
    merce
    -0.78
    ministic
    -0.75
    rane
    -0.69
    stood
    -0.68
     ful
    -0.65
    oshenko
    -0.64
    phas
    -0.61
    osc
    -0.60
    manuel
    -0.60
     rall
    -0.59
    POSITIVE LOGITS
     Photos
    0.77
    Gallery
    0.75
     Caption
    0.75
    ynthesis
    0.63
    س
    0.63
    Photos
    0.63
    ource
    0.62
     Amount
    0.61
    ets
    0.61
     gallery
    0.59
    Activations Density 0.016%

    No Known Activations