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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
    11. 17499
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    Explanations

    references to interactive elements or features within a document

    oai_token-act-pair · gpt-3.5-turbo

    references to interactive elements or experiences

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ioxide
    -0.87
    yards
    -0.80
    arest
    -0.73
    oil
    -0.73
    ighed
    -0.72
    aimon
    -0.72
    aws
    -0.71
    iffs
    -0.70
    hood
    -0.70
    yard
    -0.69
    POSITIVE LOGITS
     interactive
    0.97
     multimedia
    0.83
     slideshow
    0.80
     touchscreen
    0.71
     showc
    0.71
     theatre
    0.68
     minded
    0.67
     storytelling
    0.66
     Powered
    0.66
     improvis
    0.65
    Activations Density 0.017%

    No Known Activations