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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 16352
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    Explanations

    phrases related to power dynamics and authority

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adia
    -0.72
     Prepar
    -0.71
     Crossing
    -0.71
    Acknowled
    -0.69
    NAS
    -0.65
    selection
    -0.64
    èĪ
    -0.62
    WARD
    -0.61
    NAT
    -0.61
    PRESS
    -0.61
    POSITIVE LOGITS
    cher
    0.91
     sort
    0.88
    chers
    0.87
     pesky
    0.83
    ched
    0.81
     means
    0.75
     includes
    0.75
     kind
    0.74
    ching
    0.74
     damned
    0.73
    Activations Density 0.118%

    No Known Activations