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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. 8-RES-JB
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    Explanations

    mentions of the "World Cup"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the World Cup

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bart
    -0.85
    ksh
    -0.72
    yout
    -0.70
    utenant
    -0.69
    */(
    -0.69
    tesy
    -0.69
    verified
    -0.68
    pie
    -0.66
     unfocusedRange
    -0.66
    onyms
    -0.65
    POSITIVE LOGITS
     qualifiers
    1.10
     qualifier
    1.06
     Finals
    1.02
     finals
    0.95
     qualifying
    0.94
     2022
    0.90
     Qual
    0.87
     Uruguay
    0.85
     organisers
    0.85
     stadiums
    0.84
    Activations Density 0.066%

    No Known Activations