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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. 23762
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    Explanations

    timestamps in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific times and dates related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
    uliffe
    -0.89
    ²¾
    -0.76
    conserv
    -0.73
    uyomi
    -0.69
     damned
    -0.69
    foundation
    -0.67
    matically
    -0.67
    irie
    -0.66
     subp
    -0.65
    lessly
    -0.65
    POSITIVE LOGITS
     CET
    1.00
     GMT
    0.99
     UTC
    0.88
    GMT
    0.85
     IST
    0.84
     hrs
    0.81
     BST
    0.81
    generic
    0.80
    UTC
    0.78
     PDT
    0.77
    Activations Density 0.154%

    No Known Activations