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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. 3726
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    Explanations

    words related to the concept of something being expected or scheduled to happen at a particular time or under particular circumstances

    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
    146
    +0.17
    0.6%
    657
    +0.15
    0.5%
    679
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    657
    +0.17
    0.04
    47
    +0.15
    0.04
    146
    +0.14
    0.04
    Negative Logits
    asp
    -0.99
    arro
    -0.98
    =-=-=-=-=-=-=-=-
    -0.97
    sav
    -0.96
    arest
    -0.96
    sylv
    -0.93
    aps
    -0.93
    sol
    -0.92
    ds
    -0.90
    amps
    -0.90
    POSITIVE LOGITS
     diligence
    1.53
    lling
    1.10
    gers
    1.09
     releg
    1.07
    giving
    1.02
    awaru
    0.99
     dilig
    0.98
     cancell
    0.97
    */(
    0.94
     scrutiny
    0.90
    Activations Density 0.534%

    No Known Activations