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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. 12-RES-JB
    6. 14548
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    INDEX
    Explanations

    types of locations such as restaurants, departments stores, and galleries along with their descriptions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    elements related to architectural descriptions and aesthetics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    pload
    -0.78
    owship
    -0.78
    etimes
    -0.75
    ngth
    -0.70
    Issue
    -0.70
     DISTR
    -0.69
    onent
    -0.69
    20439
    -0.69
    =(
    -0.67
    assment
    -0.67
    POSITIVE LOGITS
     stained
    1.30
     ceilings
    1.25
     marble
    1.24
     fireplace
    1.21
     antique
    1.14
     furnish
    1.14
     wrought
    1.11
     granite
    1.10
     mur
    1.08
     mural
    1.07
    Activations Density 0.334%

    No Known Activations