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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. 12108
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    Explanations

    phrases related to generating something, particularly secure passwords, electricity, and revenue

    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
    •Layer 6 UMAP region: Mixed in middle - e2e-recon

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.25
    0.8%
    140
    +0.16
    0.5%
    570
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.25
    0.06
    570
    +0.16
    0.02
    665
    +0.15
    0.05
    Negative Logits
    mare
    -1.16
    nee
    -1.10
    say
    -1.04
    ymm
    -1.04
    yer
    -0.97
    phis
    -0.94
    hid
    -0.93
    hai
    -0.93
     Hume
    -0.93
    phia
    -0.93
    POSITIVE LOGITS
     generators
    1.09
     kWh
    1.08
    ãĤº
    1.08
    vernment
    1.06
     generate
    1.02
    ators
    1.02
    idable
    1.01
     generating
    0.97
     electricity
    0.96
    ATING
    0.94
    Activations Density 0.681%

    No Known Activations