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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of the Olympic Games

    oai_token-act-pair · gpt-3.5-turbo

    references to the Olympics and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.87
    lessly
    -0.87
    erd
    -0.82
    edly
    -0.79
    ener
    -0.77
    eric
    -0.77
    ...]
    -0.75
    drawn
    -0.74
    iard
    -0.71
    hou
    -0.71
    POSITIVE LOGITS
     medal
    0.89
     medals
    0.89
     Games
    0.87
     Olympic
    0.85
     Athlet
    0.85
     athletes
    0.83
     Peninsula
    0.83
     Stadium
    0.81
     Olympics
    0.79
     Medal
    0.78
    Activations Density 0.013%

    No Known Activations