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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. 21906
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    Explanations

    phrases related to control and authority

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to compliance and authority

    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
    unta
    -0.69
     Archdemon
    -0.68
    razil
    -0.67
    ctors
    -0.62
     nude
    -0.60
    tymology
    -0.59
     Phant
    -0.58
    anto
    -0.57
    ierre
    -0.57
     Aware
    -0.56
    POSITIVE LOGITS
     happening
    0.91
     fruition
    0.88
     occurring
    0.82
     happen
    0.72
     eroded
    0.67
     flowing
    0.65
     undone
    0.65
     occur
    0.62
     unanswered
    0.62
     reverber
    0.62
    Activations Density 1.041%

    No Known Activations