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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. 22783
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    Explanations

    mentions of the FIFA World Cup

    oai_token-act-pair · gpt-3.5-turbo

    references to the World Cup

    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
    ksh
    -0.70
    gew
    -0.69
    lip
    -0.68
    omorphic
    -0.68
    href
    -0.67
    bart
    -0.67
    channelAvailability
    -0.67
    okin
    -0.66
    PATH
    -0.65
    umo
    -0.65
    POSITIVE LOGITS
     Finals
    0.97
    eers
    0.93
     finals
    0.90
     Anniversary
    0.83
     Winners
    0.81
     celebrations
    0.80
     Tournament
    0.78
    finals
    0.77
     Playoffs
    0.76
     semifinals
    0.74
    Activations Density 0.042%

    No Known Activations