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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. 12037
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    Explanations

    references to social media-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Templar
    -0.80
     Starr
    -0.74
     Venom
    -0.74
    ajor
    -0.72
     Shinra
    -0.70
     Stevens
    -0.69
     Camden
    -0.68
     Naz
    -0.68
     Johns
    -0.67
     Scarlet
    -0.67
    POSITIVE LOGITS
    eval
    0.85
     postings
    0.82
     savvy
    0.81
     hasht
    0.81
     outlets
    0.80
     platforms
    0.80
    media
    0.79
     networks
    0.76
     hashtag
    0.75
     accounts
    0.75
    Activations Density 0.028%

    No Known Activations