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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. 11-RES-JB
    6. 10720
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    Explanations

    terms related to futuristic concepts and settings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "future" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     waters
    -0.77
     Nieto
    -0.73
     Sierra
    -0.67
     Nile
    -0.66
     Jag
    -0.64
     cue
    -0.63
     Mehran
    -0.63
     slopes
    -0.62
     Spray
    -0.60
     Gillespie
    -0.60
    POSITIVE LOGITS
    uristic
    1.37
    astical
    1.34
    urity
    1.21
    bol
    1.19
    ures
    1.15
    ility
    1.07
    astically
    1.03
    ura
    0.99
    uro
    0.96
    aba
    0.95
    Activations Density 0.057%

    No Known Activations