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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 Local
    9. 6-RES_SCL-AJT
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    Explanations

    chants and cheers in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
    447
    +0.09
    0.7%
    288
    +0.07
    0.5%
    507
    +0.06
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    679
    +0.09
    0.19
    507
    +0.07
    0.12
    375
    +0.06
    0.03
    Negative Logits
    ãĤ¨ãĥ«
    -0.44
    ulent
    -0.44
     Tycoon
    -0.43
     compensate
    -0.39
    neau
    -0.38
    ^^^^
    -0.37
    士
    -0.37
    ships
    -0.37
    ship
    -0.36
    Admin
    -0.36
    POSITIVE LOGITS
     chanting
    0.70
     chants
    0.65
     chant
    0.65
     chanted
    0.59
     louder
    0.51
    ronic
    0.47
    hovah
    0.47
    enance
    0.47
    rons
    0.46
     slogans
    0.45
    Activations Density 10.645%

    No Known Activations