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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14555
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.92
    ifference
    -0.60
    [/
    -0.57
    accompan
    -0.52
    etheless
    -0.52
    âĵĺ
    -0.52
    foreseen
    -0.50
    ocument
    -0.49
    uilt
    -0.49
    aughed
    -0.49
    POSITIVE LOGITS
    )
    1.49
    ?)
    1.45
    !)
    1.45
    )"
    1.38
    ),"
    1.34
    )-
    1.34
    )."
    1.33
    ),
    1.32
    )|
    1.32
    )!
    1.32
    Activations Density 0.974%

    No Known Activations