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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. 4887
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    Explanations

    phrases related to achieving specific goals

    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
    hens
    -0.88
    ournals
    -0.80
    olics
    -0.75
    icons
    -0.73
     Rape
    -0.72
    dan
    -0.71
    asters
    -0.70
    lesiastical
    -0.67
    lished
    -0.67
    arnaev
    -0.67
    POSITIVE LOGITS
     latter
    1.10
     trend
    1.00
     assumption
    0.94
     requirement
    0.94
     limitation
    0.92
     distinction
    0.91
     functionality
    0.89
     notion
    0.88
     sentiment
    0.86
     aspiration
    0.85
    Activations Density 0.149%

    No Known Activations