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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. 4-RES-JB
    11. 6685
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    Explanations

    descriptions or mentions of images within captions

    oai_token-act-pair · gpt-3.5-turbo

    references to images or graphic content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    laws
    -0.80
    anus
    -0.78
    secut
    -0.76
    ighter
    -0.76
    uckle
    -0.74
    icable
    -0.73
    ĵĺ
    -0.72
    sic
    -0.71
    manship
    -0.71
    etheless
    -0.70
    POSITIVE LOGITS
     caption
    1.26
     Gallery
    0.92
     Thumbnails
    0.91
     Image
    0.90
     Images
    0.89
    Images
    0.86
     thumbnail
    0.81
     Caption
    0.80
     Album
    0.80
     Collection
    0.80
    Activations Density 0.010%

    No Known Activations