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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. 9-RES-JB
    11. 6060
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    Explanations

    actions related to sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or movements towards a goal or destination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glomer
    -0.75
    enforcement
    -0.73
     interactions
    -0.69
     interaction
    -0.66
    forums
    -0.64
     Donation
    -0.64
    enance
    -0.63
     conversations
    -0.62
     interf
    -0.61
     tatt
    -0.61
    POSITIVE LOGITS
     clinch
    1.15
     earn
    1.03
     propel
    1.00
     regain
    0.97
     topple
    0.96
     tie
    0.95
     win
    0.94
     prove
    0.93
     bolster
    0.91
     celebrate
    0.91
    Activations Density 0.131%

    No Known Activations