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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. 5612
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    INDEX
    Explanations

    descriptions related to event logistics and instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to food and beverage service

    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
    laughs
    -0.85
    Enlarge
    -0.74
    Laughs
    -0.65
    paralle
    -0.63
    ãĥ³ãĤ¸
    -0.63
    rious
    -0.59
     uproar
    -0.58
    Recomm
    -0.57
     Huh
    -0.56
     millionaire
    -0.56
    POSITIVE LOGITS
     are
    1.30
     MUST
    1.27
     must
    1.25
     cannot
    1.16
     will
    1.16
     require
    1.15
     include
    1.15
     may
    1.13
     belong
    1.12
     contain
    1.07
    Activations Density 0.349%

    No Known Activations