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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 18094
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    Explanations

    numbers and technical details mentioned in a sequential format

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to ages and events

    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
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    Negative Logits
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     metabol
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     metast
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    20439
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    SPONSORED
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     traff
    -0.54
     sclerosis
    -0.53
    inventoryQuantity
    -0.53
    SpaceEngineers
    -0.53
    POSE
    -0.53
    POSITIVE LOGITS
    *,
    0.68
     and
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    0.64
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    jiang
    0.63
    ortium
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    belt
    0.61
    Activations Density 0.784%

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