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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. 2-RES-JB
    11. 7734
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    Explanations

    words related to specific themes or topics used for different types of events or products

    oai_token-act-pair · gpt-3.5-turbo

    references to themed events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVER
    -0.83
    eded
    -0.76
     ILCS
    -0.71
    FT
    -0.64
    BILITY
    -0.62
    ipt
    -0.61
    ivot
    -0.61
    NER
    -0.61
    女
    -0.59
    sen
    -0.59
    POSITIVE LOGITS
     themed
    1.10
    nesday
    1.05
    ragon
    0.93
    themed
    0.90
    theme
    0.89
    ulously
    0.86
    mares
    0.81
    iterranean
    0.80
    rontal
    0.78
     decoration
    0.74
    Activations Density 0.009%

    No Known Activations