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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. 21593
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    INDEX
    Explanations

    quantitative information related to the amount or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    quantitative statements related to consumption and production

    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
    Ħ¢
    -0.84
    ä½ľ
    -0.70
    士
    -0.66
    embed
    -0.64
    Truth
    -0.64
     redes
    -0.64
    é»Ĵ
    -0.63
    ãĤ¸
    -0.62
    alias
    -0.62
    âĹ¼
    -0.62
    POSITIVE LOGITS
     approximately
    1.33
     âĪ¼
    1.15
     between
    1.15
     40
    1.14
     60
    1.14
     160
    1.13
     25
    1.12
     50
    1.12
     250
    1.12
     80
    1.12
    Activations Density 0.347%

    No Known Activations