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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. 9-RES-JB
    6. 20325
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    INDEX
    Explanations

    words related to significant global or societal events and issues

    oai_token-act-pair · gpt-3.5-turbo

    references to attention or significant societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gle
    -0.61
    `.
    -0.61
    icho
    -0.52
    RET
    -0.51
     CCP
    -0.51
    %.
    -0.51
    rollers
    -0.50
     Sapphire
    -0.50
    ãĥ´ãĤ¡
    -0.49
    administ
    -0.49
    POSITIVE LOGITS
     depends
    1.28
     reinforces
    1.25
     underscores
    1.19
     suggests
    1.19
     ignores
    1.19
     implies
    1.19
     undermines
    1.18
     indicates
    1.17
     illustrates
    1.16
     constitutes
    1.15
    Activations Density 1.533%

    No Known Activations