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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. 8473
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    Explanations

    mentions of being "under the influence."

    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
    pring
    -0.72
    boxing
    -0.70
    illy
    -0.67
     ahead
    -0.67
    ern
    -0.66
    ument
    -0.66
    aza
    -0.65
     supra
    -0.64
    arcity
    -0.64
    Avg
    -0.63
    POSITIVE LOGITS
     ausp
    1.29
     guise
    1.26
     microscope
    1.21
     supervision
    1.18
     umbrella
    1.11
     radar
    1.08
     guidance
    0.97
     assumption
    0.97
     hood
    0.95
     noses
    0.94
    Activations Density 0.055%

    No Known Activations