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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

    location-related descriptions, specifically those mentioning yards and their activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific outdoor locations or areas such as yards

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    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
    288
    +0.13
    0.7%
    447
    +0.12
    0.7%
    167
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.13
    0.23
    26
    +0.12
    0.12
    326
    +0.09
    0.22
    Negative Logits
    PsyNetMessage
    -0.66
    NetMessage
    -0.65
    VIDIA
    -0.64
    ngth
    -0.62
    uten
    -0.62
    onymous
    -0.56
    ivia
    -0.56
    opsis
    -0.56
    izophren
    -0.56
    igslist
    -0.55
    POSITIVE LOGITS
    birds
    0.74
    yard
    0.73
    stones
    0.67
    bridge
    0.65
     yard
    0.65
    yards
    0.64
    bage
    0.63
    hill
    0.61
    stick
    0.60
    stone
    0.59
    Activations Density 9.042%

    No Known Activations