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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. 11-RES-JB
    11. 3751
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    Explanations

    phrases related to athletic movements or plays in sports

    oai_token-act-pair · gpt-3.5-turbo

    actions related to driving or moving in a sporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.62
    insk
    -0.61
    FY
    -0.61
    verified
    -0.61
     reckoning
    -0.58
    Represent
    -0.58
    clusion
    -0.57
     convened
    -0.57
     purchasing
    -0.55
    UX
    -0.55
    POSITIVE LOGITS
     awkwardly
    0.93
     onto
    0.85
     infield
    0.84
     balls
    0.80
    itzer
    0.79
     confidently
    0.79
     underneath
    0.78
     downhill
    0.76
     toward
    0.76
     past
    0.75
    Activations Density 0.119%

    No Known Activations