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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. 2-RES-JB
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    Explanations

    phrases expressing surprise or amazement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "behold" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 2 - surprise

    No Comments

    Negative Logits
     MacArthur
    -0.69
     Hiroshima
    -0.66
     Atkinson
    -0.65
     Scotia
    -0.64
    CDC
    -0.62
     Kaiser
    -0.62
     Peninsula
    -0.61
     Norton
    -0.61
     medic
    -0.61
     Aberdeen
    -0.60
    POSITIVE LOGITS
     behold
    1.43
    entimes
    1.17
    ers
    0.92
    ardless
    0.89
    iculty
    0.87
    masters
    0.86
    htaking
    0.86
    elines
    0.83
    ering
    0.83
    enance
    0.83
    Activations Density 0.008%

    No Known Activations