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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. 4-RES-JB
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    terms related to sports teams being undefeated or unbeaten

    oai_token-act-pair · gpt-3.5-turbo

    terms related to being undefeated or unbeaten in competitions

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

    No Comments

    Negative Logits
    gas
    -0.85
    adra
    -0.79
    ridges
    -0.79
    geist
    -0.74
    opter
    -0.71
    unal
    -0.70
    arin
    -0.69
    orrow
    -0.69
    ateral
    -0.69
    udic
    -0.68
    POSITIVE LOGITS
     streak
    1.13
     undefeated
    0.90
     bidder
    0.80
     unbeaten
    0.79
     underdog
    0.78
     boxer
    0.74
     unbeat
    0.74
     opponent
    0.74
     challenger
    0.74
     contender
    0.72
    Activations Density 0.012%

    No Known Activations