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    1. Home
    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 626
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    INDEX
    Explanations

    references to specific words regarding nature and specific scenarios related to trees

    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
    52
    +0.13
    0.5%
    167
    +0.13
    0.5%
    288
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.13
    0.07
    288
    +0.13
    0.09
    99
    +0.13
    0.05
    Negative Logits
    glomer
    -1.16
    ione
    -0.95
    abwe
    -0.88
    ities
    -0.87
    rontal
    -0.83
     Stanton
    -0.83
    arcer
    -0.81
    aleigh
    -0.81
     Horowitz
    -0.80
    orical
    -0.79
    POSITIVE LOGITS
    beard
    1.19
     canopy
    1.19
    frog
    1.19
    yard
    1.17
     trees
    1.13
     tree
    1.08
     trunk
    1.07
    ©¶æ
    1.04
    Hug
    1.04
     stump
    1.04
    Activations Density 1.329%

    No Known Activations