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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. 7-RES-JB
    6. 3430
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    Explanations

    user-related terms or strings in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to user identifiers or mentions of users

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Baptist
    -0.75
     Lutheran
    -0.69
    amer
    -0.65
    forth
    -0.63
     Hurricanes
    -0.63
    hovah
    -0.63
     Maid
    -0.61
    erella
    -0.59
    SourceFile
    -0.59
     Vaugh
    -0.58
    POSITIVE LOGITS
     interface
    1.05
     interfaces
    1.01
    interface
    1.00
     Interface
    0.88
    base
    0.87
    atical
    0.85
    Interface
    0.83
    Agent
    0.82
    pace
    0.79
    hook
    0.77
    Activations Density 0.026%

    No Known Activations