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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. 8-RES-JB
    11. 14146
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    Explanations

    adjectives related to objectivity

    oai_token-act-pair · gpt-3.5-turbo

    references to objective measures and standards

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    letters
    -0.88
     Tycoon
    -0.86
    oles
    -0.85
    olini
    -0.81
    corn
    -0.81
    offs
    -0.81
    buck
    -0.80
    birds
    -0.80
    bowl
    -0.79
    asta
    -0.76
    POSITIVE LOGITS
     observer
    0.94
     appraisal
    0.88
     measurement
    0.84
    itatively
    0.84
     Objective
    0.84
     pronoun
    0.81
     evaluation
    0.80
     criteria
    0.79
     objective
    0.79
     observation
    0.79
    Activations Density 0.036%

    No Known Activations