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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. 19811
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    Explanations

    phrases related to following instructions or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    terms related to instructions and specifications in various contexts

    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
     Opportun
    -0.65
    duc
    -0.62
    whel
    -0.60
    \\\\\\\\
    -0.59
     srfAttach
    -0.59
    noxious
    -0.59
    entimes
    -0.58
    Status
    -0.58
     Bucks
    -0.57
    ski
    -0.57
    POSITIVE LOGITS
     themselves
    1.28
    etter
    1.09
    etting
    1.07
    pace
    1.03
    heet
    1.02
    creen
    1.00
    hift
    0.98
    mith
    0.97
     necessary
    0.95
    peed
    0.91
    Activations Density 0.337%

    No Known Activations