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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. 10864
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    INDEX
    Explanations

    phrases containing specific locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases related to location or context

    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
    é¾įåĸļ士
    -0.77
    owship
    -0.77
    ername
    -0.72
    INESS
    -0.72
    Based
    -0.69
     ORDER
    -0.68
    dule
    -0.67
    CONT
    -0.67
    Guide
    -0.67
    ãĥģ
    -0.67
    POSITIVE LOGITS
     etc
    0.80
     example
    0.75
     distant
    0.73
     particular
    0.72
     toddlers
    0.71
     hurricanes
    0.68
     tow
    0.67
     periphery
    0.67
     steroids
    0.65
     starters
    0.65
    Activations Density 0.543%

    No Known Activations