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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. 2-RES-JB
    11. 17426
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    Explanations

    references to screen or image resolutions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of image resolution in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -0.89
    tail
    -0.79
    bara
    -0.77
     Hawth
    -0.73
     McH
    -0.72
    erd
    -0.71
    irc
    -0.71
    rium
    -0.71
    ardy
    -0.70
    epend
    -0.70
    POSITIVE LOGITS
     resolution
    1.11
     resolutions
    1.06
     Resolution
    1.05
    olution
    0.78
    resolution
    0.76
     sickness
    0.74
    velength
    0.70
     Telescope
    0.69
     sensitivity
    0.69
    Texture
    0.68
    Activations Density 0.012%

    No Known Activations