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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. 9-RES-JB
    11. 14094
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    Explanations

    phrases related to being prepared or ready for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to readiness and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hov
    -0.67
    zinski
    -0.60
     upside
    -0.60
    jiang
    -0.59
    chin
    -0.58
    anova
    -0.58
    lasses
    -0.58
     Feinstein
    -0.58
     Shades
    -0.58
     Rouge
    -0.57
    POSITIVE LOGITS
     conting
    0.77
    ļéĨĴ
    0.75
     appointed
    0.62
     disposal
    0.61
     depot
    0.61
     fuse
    0.61
     delivery
    0.60
    requisite
    0.60
    paren
    0.60
    fab
    0.59
    Activations Density 0.178%

    No Known Activations