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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. 11-RES-JB
    11. 5164
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    specific times and locations mentioned

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     testim
    -0.71
     fragrance
    -0.70
     gra
    -0.66
     straw
    -0.65
     resemb
    -0.65
     skeletons
    -0.62
     gore
    -0.62
     sauces
    -0.62
    ãĥ¯ãĥ³
    -0.62
    rers
    -0.61
    POSITIVE LOGITS
     GMT
    1.82
    GMT
    1.80
     EDT
    1.61
    UTC
    1.61
     UTC
    1.56
     PDT
    1.53
     PST
    1.49
     EST
    1.49
     BST
    1.49
     CET
    1.46
    Activations Density 0.110%

    No Known Activations