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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. 7909
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    INDEX
    Explanations

    phrases related to data organization and structure

    oai_token-act-pair · gpt-3.5-turbo

    references to gender classifications

    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
    ––
    -0.65
    Instead
    -0.64
    —-
    -0.63
    biz
    -0.60
    Luckily
    -0.58
    ̶
    -0.58
    something
    -0.57
    Thankfully
    -0.57
    Truth
    -0.57
     âĢķ
    -0.56
    POSITIVE LOGITS
     phylogen
    0.70
     numbering
    0.65
     hapl
    0.64
     annotation
    0.63
     Leica
    0.60
     variants
    0.60
     alle
    0.60
    osate
    0.60
     allele
    0.60
     Lists
    0.60
    Activations Density 2.142%

    No Known Activations