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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

    adjectives describing surprise or unexpectedness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "surprisingly"

    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
    tein
    -0.86
    abad
    -0.83
    rie
    -0.75
    flight
    -0.73
    icipated
    -0.71
    allas
    -0.71
    gang
    -0.71
    iche
    -0.71
    amins
    -0.69
    ingham
    -0.69
    POSITIVE LOGITS
     surprisingly
    0.87
    ESA
    0.79
     surprising
    0.75
     Jagu
    0.74
    Buyable
    0.72
     enough
    0.72
    NESS
    0.70
     surpr
    0.69
     srfAttach
    0.69
     absent
    0.69
    Activations Density 0.010%

    No Known Activations