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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. 3-RES-JB
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    Explanations

    the word "tiles"

    oai_token-act-pair · gpt-3.5-turbo

    references to tiles in a construction or renovation context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ntil
    -0.75
     largeDownload
    -0.74
    ivia
    -0.72
    etheus
    -0.67
    ulner
    -0.67
    avez
    -0.66
    =-=-=-=-=-=-=-=-
    -0.66
    irl
    -0.65
    ournal
    -0.64
    anchester
    -0.64
    POSITIVE LOGITS
     tiles
    1.21
     tile
    1.03
     Tile
    0.98
     Walls
    0.81
     mosaic
    0.78
     grids
    0.76
     sheets
    0.76
    glass
    0.76
    robe
    0.75
     wallpaper
    0.75
    Activations Density 0.008%

    No Known Activations