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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. 2226
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    Explanations

    mentions of images or photographs

    oai_token-act-pair · gpt-3.5-turbo

    references to images or photographs

    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
    unts
    -0.84
    ktop
    -0.83
    merce
    -0.80
    laws
    -0.80
    ighter
    -0.80
    iens
    -0.79
    ighters
    -0.73
    rieg
    -0.72
    ought
    -0.72
    aptic
    -0.72
    POSITIVE LOGITS
     Image
    1.25
     Thumbnails
    1.09
    gallery
    1.07
    ################
    1.05
     caption
    0.96
     Gallery
    0.92
    Images
    0.91
     Images
    0.90
    ################################
    0.87
    Image
    0.86
    Activations Density 0.010%

    No Known Activations