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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. 1-RES-JB
    11. 5154
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    Explanations

    terms indicating the importance or significance of something

    oai_token-act-pair · gpt-3.5-turbo

    concepts and statements emphasizing the significance or importance of various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thus
    -0.83
    AUT
    -0.79
    thur
    -0.77
    bows
    -0.76
    nery
    -0.76
    ©¶æ
    -0.75
    IDES
    -0.75
    á
    -0.74
    haw
    -0.72
    BuyableInstoreAndOnline
    -0.71
    POSITIVE LOGITS
     proble
    1.02
     important
    0.94
     citiz
    0.88
     importance
    0.87
    allery
    0.85
     distingu
    0.83
    important
    0.83
     contributors
    0.78
     distinction
    0.78
     milestone
    0.76
    Activations Density 0.026%

    No Known Activations