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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. 1-RES-JB
    11. 13106
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    Explanations

    tricks or techniques mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to tricks and techniques

    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
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    Negative Logits
    minent
    -0.83
    uclear
    -0.72
    avez
    -0.70
    oÄŁ
    -0.69
    pleting
    -0.64
    ctic
    -0.64
    gran
    -0.63
    vironments
    -0.63
    merce
    -0.62
    ccording
    -0.62
    POSITIVE LOGITS
     tricks
    1.49
    heet
    0.95
     trick
    0.86
    ery
    0.86
     Trick
    0.81
    inx
    0.77
    soDeliveryDate
    0.76
    ierre
    0.75
     Bunny
    0.74
    glers
    0.74
    Activations Density 0.006%

    No Known Activations