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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. 5790
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    Explanations

    mentions of actions or activities that involve sharing or consuming items

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or expressions within the text

    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
     warr
    -0.63
     Siber
    -0.61
     sequest
    -0.60
     exhib
    -0.60
     deduct
    -0.59
     Xperia
    -0.56
    pak
    -0.56
     Scand
    -0.54
    ukong
    -0.54
    imus
    -0.53
    POSITIVE LOGITS
    aughs
    0.71
    $.
    0.67
    ï¸ı
    0.67
    maxwell
    0.67
    outh
    0.66
    emetery
    0.65
    alian
    0.65
    thia
    0.65
    osta
    0.64
    udder
    0.64
    Activations Density 0.346%

    No Known Activations