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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. 8081
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    Explanations

    proper nouns related to stone or rock, including specific names of places or people

    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
    288
    +0.22
    0.7%
    269
    +0.13
    0.4%
    189
    +0.13
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.22
    0.11
    326
    +0.13
    0.09
    99
    +0.13
    0.08
    Negative Logits
    merce
    -1.36
    ornia
    -1.30
    oresc
    -1.30
    ntil
    -1.16
    orescence
    -1.14
    ership
    -1.10
    olulu
    -1.10
    mercial
    -1.06
    orea
    -1.03
    acies
    -1.03
    POSITIVE LOGITS
    hill
    1.41
    works
    1.27
     stone
    1.24
    lake
    1.20
     stones
    1.16
    fish
    1.16
    falls
    1.14
    bats
    1.12
    castle
    1.11
    Stone
    1.10
    Activations Density 1.702%

    No Known Activations