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    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 9102
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    INDEX
    Explanations

    phrases related to coaching personnel and team decisions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Neuron Alignment
    Index
    Value
    % of L₁
    167
    +0.17
    0.6%
    575
    +0.17
    0.6%
    288
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    224
    +0.17
    0.05
    575
    +0.17
    0.05
    485
    +0.16
    0.04
    Negative Logits
    nery
    -1.10
    uct
    -0.99
     Scotia
    -0.98
    asking
    -0.93
    selves
    -0.90
    irens
    -0.88
     Centauri
    -0.87
    export
    -0.87
    Characters
    -0.87
    emn
    -0.84
    POSITIVE LOGITS
    urally
    1.42
     coach
    1.02
    ural
    1.01
     Bobby
    1.01
    urated
    1.00
     Willie
    0.99
     Bob
    0.98
    builder
    0.98
    Ħ¢
    0.95
    aneers
    0.95
    Activations Density 0.818%

    No Known Activations