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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17863
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    INDEX
    Explanations

    words related to social media actions or calls to action, specifically urging the sharing of stories

    oai_token-act-pair · gpt-3.5-turbo

    commands or prompts related to sharing content

    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
    wagen
    -0.93
    paio
    -0.91
    teness
    -0.79
    anthrop
    -0.76
    sbm
    -0.73
    ngth
    -0.73
    ibaba
    -0.71
    asus
    -0.70
    pora
    -0.70
     destro
    -0.68
    POSITIVE LOGITS
     Share
    0.79
     PsyNet
    0.72
    holder
    0.71
     Quote
    0.70
     buttons
    0.69
     Shares
    0.67
    ning
    0.67
     Events
    0.67
     Email
    0.66
     tags
    0.66
    Activations Density 0.016%

    No Known Activations