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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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    mentions of national sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of national sports teams

    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
     guiActiveUn
    -0.88
    pmwiki
    -0.80
    Downloadha
    -0.77
    imentary
    -0.74
    Accessory
    -0.71
    itous
    -0.70
    Sov
    -0.70
    trigger
    -0.68
     drip
    -0.66
    ocene
    -0.65
    POSITIVE LOGITS
    eers
    0.86
    ubs
    0.81
     mates
    0.80
    mates
    0.78
    rons
    0.74
     mascot
    0.72
     masc
    0.71
     logos
    0.71
     Alic
    0.69
     Chung
    0.68
    Activations Density 0.052%

    No Known Activations