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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. 3-RES-JB
    6. 22464
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    Explanations

    common prefixes shared by multiple words

    oai_token-act-pair · gpt-3.5-turbo

    words related to legal matters and trials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mellon
    -0.71
    hyde
    -0.69
    ensable
    -0.67
     iod
    -0.64
    manship
    -0.64
    Department
    -0.64
    ãģ®éŃĶ
    -0.64
    maxwell
    -0.63
     Pwr
    -0.62
    ENSE
    -0.61
    POSITIVE LOGITS
     tra
    1.00
    pez
    0.95
    vert
    0.92
    ppings
    0.88
    tro
    0.87
    ordinary
    0.84
    ph
    0.81
    rend
    0.80
    izoph
    0.80
    inen
    0.76
    Activations Density 0.006%

    No Known Activations