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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. 15648
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    Explanations

    references to various centers or venues

    oai_token-act-pair · gpt-3.5-turbo

    references to various centers and institutions

    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
     behaviour
    -0.80
     favour
    -0.80
     humour
    -0.79
     whilst
    -0.77
     whisky
    -0.77
     learnt
    -0.71
     apologised
    -0.71
     honour
    -0.69
    redd
    -0.69
     reven
    -0.68
    POSITIVE LOGITS
     Center
    3.70
    Center
    2.66
     Centre
    2.56
     center
    2.40
    center
    2.31
     Centers
    2.28
     centers
    1.95
     CENT
    1.65
     centre
    1.62
    Cent
    1.47
    Activations Density 0.018%

    No Known Activations