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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. 1-RES-JB
    6. 15477
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    Explanations

    words related to negative actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    passive voice verbs indicating actions and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lay
    -0.69
    atom
    -0.67
    alter
    -0.67
    MAT
    -0.64
    appers
    -0.63
     Bees
    -0.63
    room
    -0.63
    thur
    -0.62
    aucus
    -0.62
     lodge
    -0.62
    POSITIVE LOGITS
    ĸļ
    0.99
     aback
    0.98
    nesday
    0.85
    escription
    0.84
    ieval
    0.81
     Parenthood
    0.80
    terness
    0.79
    uled
    0.79
    ãĤ´ãĥ³
    0.77
    nesses
    0.77
    Activations Density 0.127%

    No Known Activations