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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. 9-RES-JB
    6. 4426
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    Explanations

    phrases related to entering or beginning involvement in a specific activity or subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate involvement or engagement in activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    erence
    -0.69
     bene
    -0.62
    \'
    -0.60
    agues
    -0.60
    lessly
    -0.60
    âĤ¬
    -0.60
    selves
    -0.60
    ankind
    -0.59
    men
    -0.59
     Glob
    -0.59
    POSITIVE LOGITS
     trouble
    1.12
     mischief
    0.81
    itialized
    0.79
     puberty
    0.79
     politics
    0.78
     grips
    0.78
     hypers
    0.77
     shape
    0.77
     bed
    0.76
    EStream
    0.75
    Activations Density 0.054%

    No Known Activations