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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. 2493
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    Explanations

    words related to criticism or complaints

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to negative actions or criticism

    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
     gloss
    -0.69
    ortium
    -0.62
     Bonds
    -0.62
    auga
    -0.61
     Nir
    -0.60
    nown
    -0.60
     Tsukuyomi
    -0.60
     glim
    -0.60
     conspicuous
    -0.59
    ERSON
    -0.59
    POSITIVE LOGITS
    restling
    0.96
    kefeller
    0.79
    backer
    0.79
     Against
    0.68
    igious
    0.67
    boat
    0.67
    hester
    0.65
    Edited
    0.65
    theless
    0.64
     apart
    0.64
    Activations Density 0.064%

    No Known Activations