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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. 12-RES-JB
    11. 2531
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    Explanations

    images or photographs mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to images and visual content

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    hurst
    -0.89
    laws
    -0.72
    iability
    -0.69
    iday
    -0.68
    anus
    -0.68
    steen
    -0.67
    idy
    -0.67
    wood
    -0.65
     Carol
    -0.65
    olla
    -0.62
    POSITIVE LOGITS
     gallery
    0.99
     galleries
    0.93
    gallery
    0.91
     caption
    0.91
     macros
    0.91
    upload
    0.87
    ynt
    0.85
     macro
    0.84
     viewer
    0.83
    apixel
    0.82
    Activations Density 0.066%

    No Known Activations