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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. 10-RES-JB
    6. 23911
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    Explanations

    words related to decision making or actions that need to be taken

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" and similar infinitive verbs or constructs indicating future action or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hates
    -0.72
     cursing
    -0.71
     slaying
    -0.70
     tossing
    -0.70
     cultivating
    -0.70
     imagining
    -0.69
     searching
    -0.69
     telling
    -0.69
     hoping
    -0.68
     dreaming
    -0.68
    POSITIVE LOGITS
     occur
    1.60
     happen
    1.39
     be
    1.38
     arise
    1.26
     exist
    1.22
     remain
    1.21
     expire
    1.18
     emerge
    1.17
     proceed
    1.15
     originate
    1.12
    Activations Density 0.286%

    No Known Activations