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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. 0-RES-JB
    11. 13633
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    Explanations

    words related to surprising or alarming events or facts

    oai_token-act-pair · gpt-3.5-turbo

    words that convey extreme surprise or outrage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uler
    -0.74
    ulus
    -0.73
    ardi
    -0.70
     \(
    -0.69
    served
    -0.66
     cooper
    -0.65
     (=
    -0.65
     Supports
    -0.65
    issance
    -0.64
    istar
    -0.64
    POSITIVE LOGITS
     shocking
    3.10
     startling
    2.45
     alarming
    2.43
     disturbing
    2.37
     horrifying
    2.32
     appalling
    2.10
     frightening
    2.07
     heartbreaking
    2.02
     terrifying
    1.95
     harrowing
    1.93
    Activations Density 0.038%

    No Known Activations