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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. 9-RES-JB
    11. 5206
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    Explanations

    the phrase "any and all"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tec
    -0.64
    âĢ¢âĢ¢
    -0.60
     Corpus
    -0.58
     evaluations
    -0.57
     CNS
    -0.55
     legislative
    -0.54
    tein
    -0.53
     advisors
    -0.53
     Bour
    -0.53
     cyt
    -0.52
    POSITIVE LOGITS
    everything
    0.97
    any
    0.86
    every
    0.84
     EVERY
    0.78
    everyone
    0.77
    rogen
    0.76
     everything
    0.75
    estamp
    0.74
     sund
    0.74
    é¾įå
    0.74
    Activations Density 0.096%

    No Known Activations