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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. 6-RES-JB
    11. 20326
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    Explanations

    references to various galleries in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to galleries or exhibitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ially
    -0.72
    jab
    -0.71
    thood
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    stood
    -0.67
    leigh
    -0.65
    sembly
    -0.64
    teenth
    -0.63
    zee
    -0.62
    doms
    -0.62
    lead
    -0.61
    POSITIVE LOGITS
     Thumbnails
    1.12
     Gallery
    0.97
    OTOS
    0.84
    Prev
    0.75
    Gallery
    0.74
     gallery
    0.74
    VERTISEMENT
    0.72
     IMAGES
    0.71
     Scenes
    0.70
     Photos
    0.69
    Activations Density 0.009%

    No Known Activations