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

    mentions of the position "midfield" in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the position of "midfield" in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ate
    -0.68
     Nun
    -0.65
    ova
    -0.63
    ure
    -0.62
    aska
    -0.61
     verified
    -0.61
    ITE
    -0.61
    jit
    -0.60
     ".
    -0.58
    ideshow
    -0.56
    POSITIVE LOGITS
     midfield
    3.54
     midfielder
    1.90
     outfield
    1.68
     backfield
    1.39
     infield
    1.35
     linebackers
    1.29
     fullback
    1.25
     halftime
    1.25
     goalkeeper
    1.19
     lineback
    1.18
    Activations Density 0.017%

    No Known Activations