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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. 7325
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.67
    rawdownloadcloneembedreportprint
    -0.64
    atism
    -0.62
    ï¸ı
    -0.60
     @@
    -0.59
    imon
    -0.59
    renheit
    -0.58
    paio
    -0.58
    taboola
    -0.58
    nces
    -0.58
    POSITIVE LOGITS
     throne
    1.20
     fray
    1.13
    osphere
    1.09
     arena
    1.09
     realm
    1.08
    elight
    1.04
     aisle
    0.92
     forefront
    0.92
     marketplace
    0.92
     spotlight
    0.88
    Activations Density 0.523%

    No Known Activations