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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. 8659
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial obligations and economic status

    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
    ̶
    -0.84
    something
    -0.74
    ften
    -0.71
    swer
    -0.71
    Reddit
    -0.70
    Something
    -0.70
    acus
    -0.69
    utterstock
    -0.69
    args
    -0.68
    whatever
    -0.68
    POSITIVE LOGITS
     activities
    1.05
     portion
    0.98
     segments
    0.97
     portions
    0.93
     operations
    0.90
     segment
    0.90
     components
    0.89
     operational
    0.89
     objectives
    0.87
     component
    0.87
    Activations Density 0.493%

    No Known Activations