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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. 10815
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    Explanations

    specific words in a text, paying attention to phrases and statements for their content and context, with a particular focus on speeches, quotations, and expressions

    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
    247
    +0.17
    0.5%
    289
    +0.16
    0.5%
    1
    +0.14
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    289
    +0.17
    0.02
    247
    +0.16
    0.04
    461
    +0.14
    0.04
    Negative Logits
    DERR
    -1.23
    ramid
    -1.20
    ño
    -1.16
    olls
    -1.15
    awaru
    -1.05
    roxy
    -1.04
    ahon
    -1.02
     millenn
    -1.02
     notor
    -1.01
    ochet
    -1.00
    POSITIVE LOGITS
    mith
    2.08
     words
    1.32
    sworth
    1.32
     spoken
    1.32
     uttered
    1.28
    press
    1.24
     aloud
    1.19
    words
    1.16
    storms
    1.14
    speak
    1.14
    Activations Density 0.633%

    No Known Activations