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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2468
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    Explanations

    phrases indicating uncertainty or speculative statements

    oai_token-act-pair · gpt-3.5-turbo
    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
    former
    -0.61
    ouf
    -0.60
    noon
    -0.57
    quartered
    -0.56
    76561
    -0.56
     AAA
    -0.55
    kie
    -0.55
     Saying
    -0.54
     Coffin
    -0.52
     Trouble
    -0.52
    POSITIVE LOGITS
     beh
    1.50
     seems
    1.30
     becomes
    1.24
     begs
    1.23
     appears
    1.16
     shouldn
    1.13
     makes
    1.06
     feels
    1.04
    unes
    1.04
     hurts
    1.03
    Activations Density 0.150%

    No Known Activations