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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. 11-RES-JB
    6. 3140
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    INDEX
    Explanations

    phrases related to goals and intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to objectives and intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $$
    -0.70
    éĹĺ
    -0.66
    etheless
    -0.65
    cules
    -0.65
     aval
    -0.64
    mite
    -0.63
    cloth
    -0.63
    lass
    -0.62
    Phys
    -0.62
    iquid
    -0.62
    POSITIVE LOGITS
     purpose
    2.00
     goal
    1.95
     objectives
    1.83
     aim
    1.79
     goals
    1.79
     aims
    1.75
     objective
    1.73
     purposes
    1.64
     mission
    1.60
    goal
    1.55
    Activations Density 0.551%

    No Known Activations