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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. 3-RES-JB
    11. 5947
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    Explanations

    phrases or terms related to high importance or priority

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "high" indicating elevated levels or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.75
     Barg
    -0.72
     Canaver
    -0.71
     Canad
    -0.70
     Doct
    -0.66
    vier
    -0.66
     Gou
    -0.66
     Guang
    -0.66
     rall
    -0.66
    ļéĨĴ
    -0.65
    POSITIVE LOGITS
     enough
    0.90
    enough
    0.89
    school
    0.89
    rise
    0.86
    lighting
    0.83
    rises
    0.82
     school
    0.80
    ened
    0.77
     levels
    0.77
     rises
    0.76
    Activations Density 0.049%

    No Known Activations