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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8659
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    INDEX
    Explanations

    mention of famous people

    oai_token-act-pair · gpt-3.5-turbo

    references to timeframes and past events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    memory
    -0.82
     Directive
    -0.77
     correctness
    -0.77
    protection
    -0.75
     inadequate
    -0.74
    Newsletter
    -0.74
    Answer
    -0.74
    seless
    -0.74
     Suppose
    -0.73
    SPONSORED
    -0.72
    POSITIVE LOGITS
     debuted
    1.17
     teamed
    1.12
     showcased
    1.10
     onstage
    1.10
     debut
    1.09
     touring
    1.08
     collaborations
    1.06
     solo
    1.04
     crowdfunding
    1.03
     partnered
    1.01
    Activations Density 0.648%

    No Known Activations