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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. 4186
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    Explanations

    references to images or image-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to images and image-related content

    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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    No Comments

    Negative Logits
    hurst
    -0.88
    aptic
    -0.84
    cffff
    -0.82
    woods
    -0.78
    wood
    -0.77
    laws
    -0.77
    iability
    -0.75
    doms
    -0.73
    dule
    -0.72
    anus
    -0.72
    POSITIVE LOGITS
     gallery
    1.05
     galleries
    1.00
    gallery
    1.00
     caption
    0.92
     depicting
    0.89
     img
    0.87
     image
    0.83
     Gallery
    0.83
     macros
    0.83
    upload
    0.81
    Activations Density 0.046%

    No Known Activations