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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
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    Explanations

    words related to feelings of amazement or admiration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of awe and disbelief

    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
    criminal
    -0.76
    Draft
    -0.73
    Capital
    -0.72
    termination
    -0.70
    responsible
    -0.69
    agents
    -0.69
     Domestic
    -0.69
     Criminal
    -0.68
     Crim
    -0.68
     hygiene
    -0.66
    POSITIVE LOGITS
     awe
    3.24
     sway
    1.88
     disbelief
    1.66
     amaz
    1.41
     suspense
    1.38
     reverence
    1.34
     wow
    1.30
     aston
    1.29
     dazz
    1.20
     woo
    1.17
    Activations Density 0.055%

    No Known Activations