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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. 3-RES-JB
    11. 23762
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of the social media platform Twitter

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cised
    -0.78
     Dahl
    -0.73
    clud
    -0.70
    cision
    -0.66
     Ballard
    -0.65
    ECD
    -0.63
    minded
    -0.62
    cise
    -0.61
     gearing
    -0.60
     Ambrose
    -0.60
    POSITIVE LOGITS
    link
    0.88
    externalActionCode
    0.87
     hashtag
    0.79
    storms
    0.76
     hasht
    0.76
     Twitter
    0.76
     Flickr
    0.76
    ="#
    0.75
     username
    0.74
     "@
    0.74
    Activations Density 0.020%

    No Known Activations