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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. 7-RES-JB
    6. 21135
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    Explanations

    phrases related to agreement or consensus

    oai_token-act-pair · gpt-3.5-turbo

    references to consumption or consumers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WOOD
    -0.78
     Meadow
    -0.74
     horses
    -0.70
     Pegasus
    -0.66
     Peaks
    -0.65
     Pharaoh
    -0.64
     Refuge
    -0.64
     Jehovah
    -0.63
     Hoover
    -0.63
     Wast
    -0.62
    POSITIVE LOGITS
    ervatives
    1.46
    umers
    1.36
    ensus
    1.34
    cientious
    1.33
    piracy
    1.32
    ensual
    1.31
    ervative
    1.28
    idered
    1.26
    istent
    1.23
    cription
    1.23
    Activations Density 0.014%

    No Known Activations