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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. 15192
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    INDEX
    Explanations

    references to specific years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    trends or notable changes over time

    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
    afety
    -0.71
    Fax
    -0.66
     Cosponsors
    -0.65
    orem
    -0.64
    CV
    -0.64
    acting
    -0.63
    native
    -0.60
    Wall
    -0.60
    Phone
    -0.60
     unconscious
    -0.60
    POSITIVE LOGITS
     marked
    1.03
     witnessed
    0.82
     tumultuous
    0.80
     ausp
    0.79
    eco
    0.75
     dominated
    0.73
     characterized
    0.72
     littered
    0.72
     spent
    0.71
    ECA
    0.71
    Activations Density 0.251%

    No Known Activations