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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
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    9. 1-RES-JB
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    terms related to weight classes in combat sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weight classes in combat sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIS
    -0.75
     BRA
    -0.73
     PER
    -0.72
     MAR
    -0.68
     RESP
    -0.66
    mberg
    -0.65
     Slime
    -0.63
     Spiel
    -0.63
     surround
    -0.63
     Har
    -0.62
    POSITIVE LOGITS
    weight
    1.47
    weights
    1.14
    Weight
    1.00
     weights
    0.94
     advoc
    0.86
    ailability
    0.84
     weight
    0.80
    cakes
    0.79
    loss
    0.78
    cake
    0.77
    Activations Density 0.006%

    No Known Activations