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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. 18639
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    Explanations

    words related to interpersonal relationships and interactions between people

    oai_token-act-pair · gpt-3.5-turbo

    references to relationships and social groups

    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
    cer
    -0.80
     Kuala
    -0.64
     bilateral
    -0.61
    aton
    -0.60
    BN
    -0.57
    du
    -0.57
    sum
    -0.56
    cos
    -0.56
     signage
    -0.55
    ray
    -0.55
    POSITIVE LOGITS
     selves
    1.03
    hip
    0.98
    folk
    0.98
    hips
    0.93
    ervative
    0.91
    mates
    0.87
    heet
    0.81
    mith
    0.80
     counterparts
    0.77
    ystem
    0.77
    Activations Density 0.145%

    No Known Activations