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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. 1531
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    Explanations

    words related to electrical power and energy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to power supplies and power management

    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
     Von
    -0.77
    glers
    -0.69
    ally
    -0.69
     Niet
    -0.68
     Bei
    -0.67
    ryu
    -0.67
    izon
    -0.66
    eryl
    -0.66
    alian
    -0.65
    roit
    -0.64
    POSITIVE LOGITS
    houses
    1.17
    plant
    1.13
    train
    0.98
     outage
    0.98
    grid
    0.94
     consumption
    0.93
    lifting
    0.90
     supply
    0.87
     turbines
    0.84
     reactors
    0.84
    Activations Density 0.046%

    No Known Activations