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    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. 14475
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    Explanations

    instances where the text references negative feelings related to challenging personal 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
    393
    +0.28
    0.9%
    608
    +0.18
    0.6%
    661
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    669
    +0.28
    0.05
    661
    +0.18
    0.04
    608
    +0.14
    0.05
    Negative Logits
    soever
    -1.19
    Coin
    -1.05
     nodd
    -1.04
    uckland
    -1.03
    iaries
    -1.00
    iste
    -0.98
    okes
    -0.96
    peat
    -0.93
    ©¶æ¥µ
    -0.93
    ilty
    -0.93
    POSITIVE LOGITS
     sheer
    1.38
     their
    1.01
     concern
    0.95
     necessity
    0.94
     course
    0.94
     the
    0.92
     them
    0.92
     lack
    0.91
     its
    0.88
     limitations
    0.88
    Activations Density 0.599%

    No Known Activations