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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18275
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    Explanations

    keywords related to preparation or readiness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "prepare" and its variations, indicating readiness or action taken in anticipation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holes
    -0.81
    roma
    -0.66
    =-=-=-=-=-=-=-=-
    -0.64
    hole
    -0.63
    76561
    -0.62
    $$$$
    -0.62
    ãĥĥãĥī
    -0.59
    volent
    -0.59
    disc
    -0.59
    drivers
    -0.59
    POSITIVE LOGITS
    itude
    0.87
     beforehand
    0.80
     Statements
    0.78
    resses
    0.75
    oster
    0.73
     ahead
    0.73
    Statement
    0.72
     prepares
    0.72
     meals
    0.72
     prepare
    0.71
    Activations Density 0.023%

    No Known Activations