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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 1603
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    Explanations

    words related to energy

    oai_token-act-pair · gpt-3.5-turbo

    references to energy levels or consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettings
    -0.86
    gery
    -0.78
    ournal
    -0.71
    esi
    -0.70
     Mock
    -0.69
    sonian
    -0.69
    izon
    -0.67
    kie
    -0.67
    ãĥīãĥ©
    -0.66
    azeera
    -0.65
    POSITIVE LOGITS
     expended
    0.91
     expenditure
    0.88
     efficient
    0.84
     density
    0.81
     consumption
    0.81
     metabolism
    0.81
     Enhancement
    0.79
     consuming
    0.79
     drinks
    0.78
     conservation
    0.77
    Activations Density 0.047%

    No Known Activations