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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. 9-RES-JB
    11. 6885
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    Explanations

    phrases that involve thinking of something or someone

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imize
    -0.67
    encia
    -0.67
    shift
    -0.67
    yon
    -0.62
    Morning
    -0.62
    ismo
    -0.62
    inho
    -0.62
    iasis
    -0.61
    elight
    -0.61
    hani
    -0.60
    POSITIVE LOGITS
     examples
    1.11
     instances
    1.05
     credible
    0.96
     anywhere
    0.94
     occasions
    0.92
     mention
    0.92
     conclusive
    0.91
     satisfactory
    0.90
     precedent
    0.89
     comparable
    0.88
    Activations Density 0.279%

    No Known Activations