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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. 7-RES-JB
    11. 7211
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    Explanations

    the phrase "That being said"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robat
    -0.71
    PsyNetMessage
    -0.66
     Dag
    -0.65
    inav
    -0.64
    ovsky
    -0.62
    redo
    -0.61
     Lens
    -0.60
     Job
    -0.60
     Dragonbound
    -0.59
    å£
    -0.59
    POSITIVE LOGITS
     able
    1.19
     hailed
    0.93
     considered
    0.91
     discussed
    0.90
     disposed
    0.89
     eaten
    0.89
     replaced
    0.89
     utilized
    0.88
     termed
    0.88
    hemoth
    0.87
    Activations Density 0.050%

    No Known Activations