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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. 14768
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    Explanations

    titles or headings containing acronyms or abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    references to media content or headlines

    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
     guiName
    -0.91
    iencies
    -0.79
     };
    -0.75
     [/
    -0.75
     [...]
    -0.74
    "},
    -0.72
    [/
    -0.71
    conservancy
    -0.71
    etheless
    -0.66
     [â̦]
    -0.65
    POSITIVE LOGITS
    )"
    1.51
    )
    1.42
    )/
    1.40
    )--
    1.32
    )]
    1.32
    )-
    1.29
    )(
    1.28
    *)
    1.27
    ):
    1.25
    ),"
    1.24
    Activations Density 0.165%

    No Known Activations