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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. 14632
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    INDEX
    Explanations

    specific times and locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    details related to specific incidents or events

    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
     haunted
    -0.68
    chwitz
    -0.64
     traitor
    -0.62
     exile
    -0.62
     haunt
    -0.61
     cures
    -0.61
    obyl
    -0.60
    ucket
    -0.60
    })
    -0.59
    letters
    -0.59
    POSITIVE LOGITS
     shortly
    0.75
     according
    0.68
     approximately
    0.67
     southwest
    0.67
     northwest
    0.63
     located
    0.62
     near
    0.60
     Moderate
    0.60
     northeast
    0.58
    endiary
    0.57
    Activations Density 0.418%

    No Known Activations