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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. 5195
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    Explanations

    verbs related to various activities and actions carried out by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    active verbs that imply action or participation

    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
    ãĤ´ãĥ³
    -0.69
    Downloadha
    -0.59
     convol
    -0.55
     tiss
    -0.55
    nih
    -0.54
    dating
    -0.54
    nikov
    -0.54
    enegger
    -0.53
     Nos
    -0.52
     Seym
    -0.51
    POSITIVE LOGITS
    uate
    0.66
    ISE
    0.59
     RELEASE
    0.55
    enance
    0.55
    igate
    0.54
     him
    0.54
    itate
    0.54
    ulate
    0.53
     them
    0.51
    IRE
    0.50
    Activations Density 0.496%

    No Known Activations