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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. 22221
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    Explanations

    words related to work or productivity

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "a" or the indefinite article in various contexts

    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
    Contents
    -0.82
    evidence
    -0.81
    ographs
    -0.77
     Amend
    -0.73
    achu
    -0.69
    coins
    -0.69
    etsk
    -0.69
    ittens
    -0.68
    marks
    -0.67
    ONEY
    -0.66
    POSITIVE LOGITS
     bunch
    1.08
     handful
    1.03
     couple
    1.00
     lot
    0.97
     few
    0.94
     multitude
    0.93
     plethora
    0.92
     whopping
    0.92
     single
    0.91
     dozen
    0.90
    Activations Density 0.296%

    No Known Activations