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

    mentions of the position "midfield" in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "midfield" in the context of sports

    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
    PROV
    -0.81
    Lear
    -0.80
    externalActionCode
    -0.79
    Downloadha
    -0.79
    displayText
    -0.74
    FTWARE
    -0.68
     FDA
    -0.67
    UTC
    -0.66
     Glob
    -0.64
    soType
    -0.64
    POSITIVE LOGITS
     midfield
    0.96
    ers
    0.89
    wich
    0.89
     midfielder
    0.85
     duo
    0.82
     lan
    0.80
    sters
    0.80
    roid
    0.75
    ster
    0.73
     trio
    0.72
    Activations Density 0.012%

    No Known Activations