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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. 8486
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    Explanations

    phrases related to time intervals

    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
    osen
    -0.68
    andr
    -0.65
    BILITY
    -0.57
    qv
    -0.56
     Kling
    -0.55
     Plans
    -0.54
     Khan
    -0.53
     Tycoon
    -0.53
     KEY
    -0.53
     Lovely
    -0.52
    POSITIVE LOGITS
     annually
    1.94
     every
    1.85
     yearly
    1.74
     daily
    1.67
     weekly
    1.59
     per
    1.56
     each
    1.56
     nightly
    1.47
    every
    1.46
     monthly
    1.43
    Activations Density 1.175%

    No Known Activations