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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. 8738
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    Explanations

    names and terms related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific names, particularly of individuals or groups associated with notable statements or actions

    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
    imb
    -0.68
    onomy
    -0.67
    bidden
    -0.67
    aceous
    -0.66
    landish
    -0.66
    psons
    -0.65
    ware
    -0.65
    åĭ
    -0.64
    ĨĴ
    -0.63
    phabet
    -0.63
    POSITIVE LOGITS
    ggies
    0.78
    agher
    0.71
    isite
    0.70
     Hussain
    0.70
    ---------------
    0.70
    asar
    0.68
     Mush
    0.67
    rooms
    0.67
    idence
    0.65
    rences
    0.64
    Activations Density 0.042%

    No Known Activations