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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. 11-RES-JB
    11. 11923
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    Explanations

    phrases related to emphasizing a specific point or clarification

    oai_token-act-pair · gpt-3.5-turbo

    statements declaring the nature of things or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    luaj
    -0.89
    iard
    -0.67
    artney
    -0.65
    hedon
    -0.64
    enium
    -0.64
    actory
    -0.63
    /"
    -0.61
    icc
    -0.61
    unia
    -0.61
    ertodd
    -0.60
    POSITIVE LOGITS
     why
    1.11
     until
    0.90
     WHY
    0.80
     unless
    0.79
     indeed
    0.73
    ,
    0.73
    why
    0.71
     exactly
    0.71
     precisely
    0.71
     how
    0.71
    Activations Density 0.043%

    No Known Activations