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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. 11-RES-JB
    6. 22962
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    INDEX
    Explanations

    phrases indicating a process or situation unfolding over time

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of things happening or unfolding

    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
    antry
    -0.75
    UTERS
    -0.65
    avorite
    -0.63
    oreal
    -0.60
    isma
    -0.59
    ppy
    -0.58
     Primordial
    -0.57
     awa
    -0.57
     tyr
    -0.56
    Export
    -0.56
    POSITIVE LOGITS
    stretched
    1.29
    wards
    1.23
    fitted
    1.11
    posts
    1.04
    casts
    1.02
     loud
    1.01
    ta
    1.00
    lived
    0.88
    smart
    0.87
    grow
    0.86
    Activations Density 0.121%

    No Known Activations