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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. 8-RES-JB
    11. 5091
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    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     projecting
    -0.70
    é¾įå¥ij士
    -0.62
     helicop
    -0.60
     tram
    -0.59
     skulls
    -0.59
     Beir
    -0.58
     conver
    -0.57
    inventoryQuantity
    -0.57
     Lans
    -0.57
     deviation
    -0.56
    POSITIVE LOGITS
    gments
    0.91
    gements
    0.90
    gment
    0.79
    gement
    0.77
    ctory
    0.76
    giving
    0.74
    ħĭ
    0.72
    entle
    0.70
    LOCK
    0.70
    Override
    0.70
    Activations Density 0.010%

    No Known Activations