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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. 6495
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    Explanations

    phrases related to reasons, justifications, and influences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social issues and their underlying causes

    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
     Tours
    -0.71
     Lauder
    -0.71
     Yok
    -0.70
     Saud
    -0.70
     Tib
    -0.68
    album
    -0.68
    \/\/
    -0.65
     Yong
    -0.64
     Mellon
    -0.63
    ONDON
    -0.63
    POSITIVE LOGITS
     predominant
    0.96
     predictor
    0.91
     synonymous
    0.89
     taboo
    0.88
     sacrament
    0.83
     cornerstone
    0.82
     prevalent
    0.79
     staple
    0.79
     compulsory
    0.79
     scourge
    0.79
    Activations Density 0.763%

    No Known Activations