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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. 1489
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    Explanations

    references to technology-related topics such as devices, languages, and systems

    oai_token-act-pair · gpt-3.5-turbo

    references to technology, languages, and frameworks

    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
    rontal
    -0.66
    guyen
    -0.65
    apego
    -0.64
    onement
    -0.60
     disability
    -0.56
    obia
    -0.55
    agra
    -0.55
     condemnation
    -0.55
     leash
    -0.55
    INGTON
    -0.55
    POSITIVE LOGITS
    paces
    1.38
    hips
    1.30
     simultaneously
    1.06
    ets
    1.05
    hops
    1.05
     alike
    0.97
    olutions
    0.96
    ystem
    0.95
    mith
    0.92
     concurrently
    0.89
    Activations Density 0.410%

    No Known Activations