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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. 9-RES-JB
    6. 12792
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    Explanations

    references to ways of living life and lifestyle choices

    oai_token-act-pair · gpt-3.5-turbo

    references to living and lifestyle choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orsi
    -0.71
    */(
    -0.69
     stride
    -0.66
    aptic
    -0.64
    asking
    -0.63
     probing
    -0.63
    iasm
    -0.63
     brass
    -0.63
     awarding
    -0.62
     RHP
    -0.62
    POSITIVE LOGITS
     dream
    0.83
     lifestyles
    0.83
    ominium
    0.82
     comfortably
    0.82
     vic
    0.81
    izabeth
    0.76
     bliss
    0.76
     subsistence
    0.75
     fantasies
    0.74
     lux
    0.74
    Activations Density 0.192%

    No Known Activations