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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. 20518
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    Explanations

    names, specifically the name "Chang."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names

    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
    ãĥ¤
    -0.80
    ãĥł
    -0.78
    IGHT
    -0.77
    GROUND
    -0.75
    toe
    -0.74
    ights
    -0.70
    phia
    -0.70
    ãĥĨ
    -0.70
    ossession
    -0.68
    doors
    -0.66
    POSITIVE LOGITS
    jiang
    1.01
     Chang
    1.00
    zhou
    0.84
     Chu
    0.80
    bang
    0.79
     Zheng
    0.77
    yang
    0.77
    lers
    0.76
    lish
    0.74
     Mai
    0.73
    Activations Density 0.006%

    No Known Activations