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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. 5-RES-JB
    6. 20630
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    INDEX
    Explanations

    phrases related to comparisons or contrasts

    oai_token-act-pair · gpt-3.5-turbo

    negative aspects or criticisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.79
     Codec
    -0.71
     Richards
    -0.68
     Indigo
    -0.65
     Burnett
    -0.65
     Powder
    -0.62
     Ital
    -0.59
     imprint
    -0.59
     Chill
    -0.59
     Mod
    -0.59
    POSITIVE LOGITS
    based
    1.31
    related
    1.18
    derived
    1.15
    driven
    1.14
    induced
    1.13
    style
    1.13
    turned
    1.12
    sized
    1.12
    only
    1.11
    inspired
    1.10
    Activations Density 0.268%

    No Known Activations