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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. 4565
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    Explanations

    references to locations and entities in a formal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    terms related to locations and settings

    oai_token-act-pair · gpt-3.5-turbo
    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
    Newsletter
    -0.71
    Loading
    -0.68
    nant
    -0.66
    Products
    -0.64
    DH
    -0.63
    earable
    -0.63
    Hub
    -0.62
    emade
    -0.62
    RM
    -0.59
    Ore
    -0.58
    POSITIVE LOGITS
    arently
    0.64
    vironment
    0.63
    clud
    0.63
     insistence
    0.59
     reckoning
    0.59
     imagin
    0.59
     interval
    0.59
     insertion
    0.58
    çͰ
    0.58
     Samar
    0.58
    Activations Density 0.441%

    No Known Activations