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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. 1-RES-JB
    11. 23080
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    Explanations

    images or visuals described within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to images or pictures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eager
    -0.72
    secut
    -0.70
    uckle
    -0.70
     customary
    -0.69
     thorough
    -0.66
     turn
    -0.66
     offense
    -0.65
     crowd
    -0.63
     scrimmage
    -0.63
     favor
    -0.62
    POSITIVE LOGITS
    Picture
    1.45
     Picture
    1.08
    picture
    1.02
    lihood
    0.97
     Canaver
    0.94
    Pic
    0.84
     Locations
    0.84
    Pixel
    0.83
    Image
    0.81
     Features
    0.80
    Activations Density 0.005%

    No Known Activations