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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. 9-RES-JB
    6. 22583
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     guiName
    -0.79
    ãĢIJ
    -0.75
    BIL
    -0.73
    ":[{"
    -0.69
     ();
    -0.68
    Newsletter
    -0.67
    %.
    -0.66
    SPONSORED
    -0.66
     ."
    -0.64
    Dialogue
    -0.64
    POSITIVE LOGITS
    ?)
    1.50
    ?),
    1.41
    )
    1.40
    ?).
    1.37
    -)
    1.35
    )/
    1.34
    )"
    1.34
    ),
    1.30
    )."
    1.28
    ),"
    1.28
    Activations Density 0.229%

    No Known Activations