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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. 10-RES-JB
    6. 19700
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    INDEX
    Explanations

    terms related to different types of buildings and properties

    oai_token-act-pair · gpt-3.5-turbo

    references to categories or groups of customers and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ðŁij
    -0.73
    answer
    -0.72
    weet
    -0.67
     TAMADRA
    -0.66
    apter
    -0.65
    cker
    -0.64
    feel
    -0.64
    agonist
    -0.63
    lash
    -0.63
     Paulo
    -0.62
    POSITIVE LOGITS
     recreational
    1.21
     residential
    1.18
     outpatient
    1.16
     vocational
    1.14
     emergencies
    1.08
     specialty
    1.05
     residences
    1.05
     weddings
    1.04
    commercial
    1.02
     ambul
    1.00
    Activations Density 0.439%

    No Known Activations