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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. 5-RES-JB
    6. 13822
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    Explanations

    terms related to customers or people attending an event

    oai_token-act-pair · gpt-3.5-turbo

    terms related to patrons and customers in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stalin
    -0.67
     Marxism
    -0.67
     Communist
    -0.65
     Thing
    -0.65
     Sabb
    -0.64
     Workers
    -0.64
     Pharma
    -0.63
    Reloaded
    -0.62
     Genocide
    -0.62
     Anthropology
    -0.61
    POSITIVE LOGITS
    hip
    1.10
    aurus
    0.94
     beware
    0.94
    opausal
    0.91
    erv
    0.84
    hips
    0.81
    uggest
    0.81
     enjoy
    0.80
    ettings
    0.79
     consume
    0.79
    Activations Density 0.204%

    No Known Activations