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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. 23507
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    Explanations

    times and dates mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to uncertainty about timing

    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
    Not in Any Lists

    No Comments

    Negative Logits
    eret
    -0.74
    00007
    -0.70
    bnb
    -0.68
    ¿½
    -0.67
    Ĥª
    -0.65
    chens
    -0.64
    cffffcc
    -0.62
    oyal
    -0.61
    iox
    -0.60
    complex
    -0.60
    POSITIVE LOGITS
     onset
    0.87
     happiest
    0.83
     expire
    0.82
     expiration
    0.80
     expires
    0.80
     finally
    0.80
     sunset
    0.77
    Registered
    0.75
     ceases
    0.75
     commence
    0.74
    Activations Density 0.161%

    No Known Activations