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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. 16171
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    Explanations

    I'm sorry, but the provided text does not offer enough information for making a reliable analysis of what neuron 4 is looking for

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political power and its dynamics

    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
    OM
    -0.67
     surprises
    -0.63
    OTOS
    -0.60
    omas
    -0.58
     Rodrig
    -0.58
    È
    -0.57
     conscience
    -0.57
    hift
    -0.56
    ovember
    -0.56
    love
    -0.55
    POSITIVE LOGITS
    ping
    1.72
    ped
    1.63
    ps
    1.46
    pers
    1.43
    py
    1.39
    p
    1.37
    per
    1.32
    pel
    1.29
    pit
    1.27
    pter
    1.24
    Activations Density 0.084%

    No Known Activations