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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. 5-RES-JB
    6. 21957
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    Explanations

    words related to specific entities or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and technical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢº
    -0.53
     Sarah
    -0.51
     Sonny
    -0.51
    ¶ħ
    -0.51
    cmp
    -0.51
    ãĥīãĥ©ãĤ´ãĥ³
    -0.50
    ãĤ¸
    -0.50
     Bryan
    -0.49
     Kendrick
    -0.49
     Gibbs
    -0.48
    POSITIVE LOGITS
    intosh
    0.57
     initiation
    0.57
    ulent
    0.56
    fu
    0.54
    Fil
    0.54
    icular
    0.54
    owship
    0.54
    utenberg
    0.53
     aloud
    0.53
    ifer
    0.51
    Activations Density 0.742%

    No Known Activations