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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. 3-RES-JB
    6. 7146
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    Explanations

    words related to paddling and kayaking

    oai_token-act-pair · gpt-3.5-turbo

    references to paddling and related aquatic activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENE
    -0.79
    PsyNetMessage
    -0.75
    urgy
    -0.73
    urger
    -0.69
    nexus
    -0.67
    eteria
    -0.67
    oppers
    -0.65
    rael
    -0.65
    infeld
    -0.65
    phis
    -0.63
    POSITIVE LOGITS
     paddle
    1.28
     padd
    1.21
     canoe
    1.14
     kay
    1.08
     raft
    0.86
     swim
    0.83
    boat
    0.83
    spir
    0.78
     Swim
    0.76
     fishing
    0.76
    Activations Density 0.010%

    No Known Activations