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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. 6-RES-JB
    11. 10783
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    Explanations

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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HH
    -0.67
    LAB
    -0.67
    ]'
    -0.67
    âĶĢ
    -0.67
    NFL
    -0.66
    mare
    -0.66
    Learn
    -0.66
    edin
    -0.64
    ellen
    -0.64
    é¾
    -0.64
    POSITIVE LOGITS
    geries
    1.07
    gery
    1.06
    cible
    0.96
     purposes
    0.94
    bidden
    0.91
     sale
    0.90
     verification
    0.90
     consideration
    0.90
     clarification
    0.90
     clarity
    0.83
    Activations Density 0.224%

    No Known Activations