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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. 16271
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    Explanations

    words related to media, technology, and business deals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to media content and distribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     adjourn
    -0.76
    ACTED
    -0.70
    akura
    -0.69
    natureconservancy
    -0.69
     Juven
    -0.67
    sent
    -0.66
    eenth
    -0.65
    ĻĤ
    -0.63
    lied
    -0.62
    reath
    -0.61
    POSITIVE LOGITS
     royalties
    0.78
    netflix
    0.78
     capabilities
    0.73
     technologies
    0.69
     activ
    0.68
    grass
    0.68
     Everywhere
    0.67
     Mehran
    0.67
     Canaveral
    0.66
     capacities
    0.66
    Activations Density 0.649%

    No Known Activations