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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. 10304
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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 @ 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
     helicop
    -0.68
     cheek
    -0.61
     conver
    -0.58
     planted
    -0.56
     projecting
    -0.55
     tong
    -0.55
     resemb
    -0.55
     Ukrain
    -0.54
     stead
    -0.54
    arters
    -0.54
    POSITIVE LOGITS
    gements
    0.91
    gments
    0.86
    Override
    0.78
    urden
    0.75
    SG
    0.74
    gment
    0.71
    ³
    0.70
    iciary
    0.69
    ging
    0.68
    fulness
    0.68
    Activations Density 0.009%

    No Known Activations