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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. 0-RES-JB
    11. 11900
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    Explanations

    references to graphics or visuals

    oai_token-act-pair · gpt-3.5-turbo

    references to graphics in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Benson
    -0.73
    dn
    -0.73
     Lung
    -0.69
    chel
    -0.65
    edom
    -0.65
    Ord
    -0.65
     Commit
    -0.64
     extinguished
    -0.64
     Ont
    -0.64
    uth
    -0.64
    POSITIVE LOGITS
     graphics
    3.50
     Graphics
    2.55
    Graphics
    2.28
    raphics
    2.10
     visuals
    2.03
     graphic
    1.95
     graphical
    1.92
     Graphic
    1.66
     GPUs
    1.51
     GPU
    1.43
    Activations Density 0.014%

    No Known Activations