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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6722
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    Explanations

    numbers associated with 3D technology

    oai_token-act-pair · gpt-3.5-turbo

    specific mentions and patterns related to 3D printing technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olics
    -0.66
     med
    -0.62
    ynski
    -0.62
     Coul
    -0.61
     Alexandra
    -0.61
     Rebels
    -0.60
     Mald
    -0.60
     Nashville
    -0.59
    rolet
    -0.59
     Mead
    -0.58
    POSITIVE LOGITS
    dfx
    1.36
    D
    1.20
    DO
    1.17
     dimensional
    1.10
    DP
    1.06
    DS
    1.05
    Ds
    1.02
    dimensional
    1.01
    DX
    1.00
    WD
    0.99
    Activations Density 0.094%

    No Known Activations