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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. 11-RES-JB
    11. 7438
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    Explanations

    items or objects needed for a specific task or activity

    oai_token-act-pair · gpt-3.5-turbo

    lists of supplies or materials needed for a project

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imilation
    -0.76
    verse
    -0.75
    Īè
    -0.74
    obia
    -0.74
     regress
    -0.73
    ãĤ´ãĥ³
    -0.66
    ocrats
    -0.66
    bourg
    -0.66
    itism
    -0.65
    gression
    -0.65
    POSITIVE LOGITS
     scissors
    1.42
     glue
    1.24
     cardboard
    1.21
     adhesive
    1.17
     towels
    1.13
     towel
    1.09
     flashlight
    1.08
     acrylic
    1.06
     tripod
    1.05
     stickers
    1.04
    Activations Density 0.234%

    No Known Activations