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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. 2-RES-JB
    6. 24518
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    Explanations

    specific phrases or names

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to formal titles or designations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.56
    RESULTS
    -0.50
    gomery
    -0.49
     convincing
    -0.46
     defamation
    -0.44
     perjury
    -0.44
    NetMessage
    -0.44
     quick
    -0.44
    Downloadha
    -0.43
    SPONSORED
    -0.43
    POSITIVE LOGITS
    edin
    0.61
     Rooms
    0.60
     Room
    0.58
     Centre
    0.55
     Club
    0.55
     Programme
    0.55
     Alone
    0.54
    oran
    0.54
     Point
    0.53
     Thing
    0.53
    Activations Density 1.061%

    No Known Activations