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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 3050
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    Explanations

    descriptions of sports events

    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
    384
    +0.15
    0.5%
    460
    +0.13
    0.5%
    288
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    460
    +0.15
    0.06
    651
    +0.13
    0.06
    500
    +0.12
    0.05
    Negative Logits
    itarian
    -1.06
    sonian
    -1.00
    protein
    -0.95
    Bone
    -0.93
    rir
    -0.87
    zb
    -0.87
    umbn
    -0.86
    verified
    -0.86
    eday
    -0.84
     unfocusedRange
    -0.83
    POSITIVE LOGITS
     halftime
    0.95
     replay
    0.93
    imester
    0.93
    rig
    0.89
    ftime
    0.89
     Marcel
    0.88
     inning
    0.88
     kickoff
    0.85
    kick
    0.84
     Marino
    0.84
    Activations Density 0.651%

    No Known Activations