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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. 10-RES-JB
    11. 5477
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    words related to athletics or sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to athletics and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    later
    -0.75
    ppelin
    -0.74
    enthal
    -0.70
    ãĥĢ
    -0.69
    PsyNetMessage
    -0.68
    lessly
    -0.66
    ered
    -0.65
    places
    -0.64
    orah
    -0.62
    bare
    -0.61
    POSITIVE LOGITS
     pursuits
    0.85
    letes
    0.84
     trainer
    0.81
    limits
    0.81
     scholarships
    0.81
     trainers
    0.80
     endeavors
    0.78
     athletic
    0.78
     disciplines
    0.77
     prowess
    0.76
    Activations Density 0.035%

    No Known Activations