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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
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    Explanations

    mentions of the Olympic Games

    oai_token-act-pair · gpt-3.5-turbo

    references to the Olympic Games

    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
    ...]
    -0.81
    lessly
    -0.72
    ologies
    -0.70
    finding
    -0.70
    20439
    -0.69
    drawn
    -0.69
    utils
    -0.68
    ansas
    -0.67
    cha
    -0.66
    BOOK
    -0.66
    POSITIVE LOGITS
     Olympic
    1.02
     athletes
    0.89
     Athlet
    0.88
     athlete
    0.87
     Torch
    0.85
     Olympics
    0.82
     gymn
    0.79
     Games
    0.75
     Rings
    0.75
     medal
    0.75
    Activations Density 0.007%

    No Known Activations