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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. 9578
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    Explanations

    phrases indicating decisions or choices to be made

    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
    oil
    -0.78
    atha
    -0.77
    acements
    -0.72
     tremend
    -0.70
    athi
    -0.68
    atched
    -0.68
    ikan
    -0.68
    oing
    -0.66
    ffff
    -0.65
    outh
    -0.64
    POSITIVE LOGITS
     whether
    1.00
     decide
    0.75
     decisions
    0.74
     deciding
    0.72
     unanimously
    0.72
     how
    0.70
     differently
    0.69
     decisively
    0.69
     decides
    0.69
     upon
    0.69
    Activations Density 0.033%

    No Known Activations