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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15617
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    Explanations

    patterns or instructions related to sewing

    oai_token-act-pair · gpt-3.5-turbo

    components and instructions related to assembly or construction

    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
     Samar
    -0.79
     Siri
    -0.79
     Miranda
    -0.74
     flashbacks
    -0.71
    tumblr
    -0.71
     Brave
    -0.68
     Carbuncle
    -0.68
     Incarn
    -0.68
     Paran
    -0.68
    clinton
    -0.68
    POSITIVE LOGITS
     molded
    1.17
     weld
    1.13
     srfAttach
    1.12
     ply
    1.05
     welding
    1.04
     PVC
    0.93
     insulation
    0.91
     adhesive
    0.90
     bearings
    0.90
     tubing
    0.89
    Activations Density 0.303%

    No Known Activations