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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. 14577
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    Explanations

    words related to time management and scheduling

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the concept of time and its relation to actions

    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
    prem
    -0.67
    quet
    -0.63
    advertising
    -0.62
     Polk
    -0.62
    requires
    -0.61
    Leaks
    -0.60
    hent
    -0.60
    MpServer
    -0.60
     Led
    -0.60
    quel
    -0.59
    POSITIVE LOGITS
     indulge
    1.12
     explore
    1.10
     breathe
    1.10
     spare
    1.09
     contemplate
    1.08
     consolidate
    1.06
     relax
    1.05
     analyze
    1.00
     concentrate
    0.99
     dedicate
    0.99
    Activations Density 0.099%

    No Known Activations