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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. 4-RES-JB
    11. 9765
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    estern
    -0.93
    oÄŁ
    -0.80
    uckle
    -0.76
    oso
    -0.75
    okers
    -0.73
    psey
    -0.70
    quer
    -0.70
    airs
    -0.69
    olition
    -0.69
    paio
    -0.69
    POSITIVE LOGITS
     Sources
    1.07
     Source
    1.05
    source
    0.92
    Source
    0.86
    Fed
    0.85
    Forge
    0.84
    ource
    0.83
     Citation
    0.79
    books
    0.79
    Quote
    0.79
    Activations Density 0.015%

    No Known Activations