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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. 2275
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    instances related to fate and medical conditions

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    326
    +0.21
    0.7%
    718
    +0.14
    0.5%
    77
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.21
    0.08
    326
    +0.14
    0.06
    151
    +0.14
    0.05
    Negative Logits
    afort
    -1.03
    orney
    -1.02
    amily
    -0.95
    agement
    -0.92
    riber
    -0.92
    acted
    -0.92
    estern
    -0.91
    artney
    -0.89
    ages
    -0.86
    reciation
    -0.85
    POSITIVE LOGITS
     fate
    1.15
     doom
    1.01
     collide
    1.00
    bringer
    1.00
    istically
    0.99
     Pradesh
    0.97
     mete
    0.91
     contag
    0.89
     disappoint
    0.87
     haunt
    0.86
    Activations Density 0.757%

    No Known Activations