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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. 9492
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to various sources or citations within the text

    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
     accordingly
    -0.72
     disgu
    -0.69
     record
    -0.67
     prey
    -0.67
     aside
    -0.65
     rug
    -0.65
     advert
    -0.63
     lapse
    -0.62
     proced
    -0.62
     sooner
    -0.62
    POSITIVE LOGITS
    AFP
    1.06
    Getty
    1.06
    Courtesy
    1.05
    Flickr
    1.04
    ËĪ
    1.00
    Bloomberg
    0.96
    CBC
    0.91
    etc
    0.89
    Library
    0.87
    HT
    0.85
    Activations Density 0.027%

    No Known Activations