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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. 18035
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    Explanations

    phrases related to specific locations or establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands, products, or notable public figures

    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
    pload
    -0.69
    abytes
    -0.66
    bnb
    -0.63
    htaking
    -0.62
     glaciers
    -0.60
    ikuman
    -0.60
    hap
    -0.59
    uria
    -0.58
    drm
    -0.58
    achev
    -0.58
    POSITIVE LOGITS
     Cly
    0.60
    QUIRE
    0.56
    itely
    0.55
     Niet
    0.55
     omission
    0.54
     behalf
    0.54
     CTR
    0.52
    DIT
    0.50
     Sle
    0.50
     Baird
    0.50
    Activations Density 1.336%

    No Known Activations