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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. 12-RES-JB
    11. 3311
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    INDEX
    Explanations

    phrases indicating surprise or unexpected outcomes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating degrees of surprise or expectation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouf
    -0.85
    onge
    -0.78
    tein
    -0.75
    involved
    -0.73
    iban
    -0.72
    Merit
    -0.70
    neys
    -0.67
    ands
    -0.65
    CHA
    -0.64
    esian
    -0.63
    POSITIVE LOGITS
     surprise
    1.24
     shock
    1.06
     relief
    0.95
     no
    0.93
     surprising
    0.90
     surprises
    0.89
     unwelcome
    0.85
     surpr
    0.82
     disappointment
    0.82
     unsur
    0.81
    Activations Density 0.074%

    No Known Activations