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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. 1530
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    INDEX
    Explanations

    phrases related to politics and debates

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant emphasis or strong emotional reactions

    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
     warr
    -1.03
     neighb
    -0.93
     prosec
    -0.92
     eleph
    -0.91
     describ
    -0.89
     citiz
    -0.84
     derog
    -0.83
     ende
    -0.81
     tiss
    -0.79
     carbohyd
    -0.78
    POSITIVE LOGITS
    Consider
    1.98
    Firstly
    1.85
    First
    1.84
    According
    1.74
    Take
    1.70
    Specifically
    1.70
    Last
    1.61
    During
    1.58
    Between
    1.57
    Beginning
    1.57
    Activations Density 0.392%

    No Known Activations