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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. 18319
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    INDEX
    Explanations

    phrases related to discussions, opinions, evaluations, and reactions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas, within a text

    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
    ãĤ´ãĥ³
    -1.03
    è£ħ
    -0.87
    çīĪ
    -0.75
    ãģ®å
    -0.74
    ãĥ¯
    -0.74
    éŃĶ
    -0.73
    vre
    -0.70
    %:
    -0.70
    OVA
    -0.68
    ãĤ¨ãĥ«
    -0.67
    POSITIVE LOGITS
     yeah
    1.20
     whereas
    1.08
     because
    1.01
     obviously
    0.99
     frankly
    0.99
     but
    0.98
     blah
    0.96
     which
    0.95
     [
    0.94
     okay
    0.94
    Activations Density 0.286%

    No Known Activations