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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. 16492
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    Explanations

    numerical patterns or sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and references to legal or procedural terms

    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
     guiName
    -0.96
     };
    -0.73
     ();
    -0.71
     [];
    -0.71
     ];
    -0.62
    conservancy
    -0.61
    iencies
    -0.60
     [...]
    -0.60
    rollers
    -0.59
    ''.
    -0.59
    POSITIVE LOGITS
    )"
    1.52
    )/
    1.39
    ),"
    1.26
    )
    1.25
    )]
    1.22
    )",
    1.22
    ):
    1.21
    )--
    1.21
    *)
    1.20
    )=
    1.19
    Activations Density 0.206%

    No Known Activations