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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. 15911
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    Explanations

    phrases related to challenges and obstacles

    oai_token-act-pair · gpt-3.5-turbo

    discussions about challenges and difficulties faced in various contexts

    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
    emonium
    -0.83
    vantage
    -0.81
    Happy
    -0.76
    RIP
    -0.70
    ãĥ¤
    -0.68
    Action
    -0.68
    ici
    -0.67
    SPONSORED
    -0.66
    verbs
    -0.66
    ITIES
    -0.66
    POSITIVE LOGITS
     reconcil
    1.40
     figuring
    1.36
     balancing
    1.34
     navigating
    1.29
     maintaining
    1.26
     integrating
    1.25
     adapting
    1.17
     translating
    1.16
     determining
    1.13
     finding
    1.13
    Activations Density 0.327%

    No Known Activations