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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. 3-RES-JB
    11. 9301
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    Explanations

    words related to energy resources

    oai_token-act-pair · gpt-3.5-turbo

    references to energy sources and sustainability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -1.07
     Grave
    -0.74
    glers
    -0.71
     Sections
    -0.71
     Beard
    -0.70
     Lew
    -0.69
    nee
    -0.69
     Skinner
    -0.67
    ettings
    -0.67
     Mock
    -0.66
    POSITIVE LOGITS
     superpower
    0.92
     consumption
    0.88
     efficiency
    0.88
     energy
    0.87
     absorption
    0.83
     powering
    0.82
    energy
    0.81
     efficient
    0.81
     metabolism
    0.79
    fuel
    0.79
    Activations Density 0.022%

    No Known Activations