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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. 1-RES-JB
    11. 977
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    Explanations

    technical terms related to power generation capacity

    oai_token-act-pair · gpt-3.5-turbo

    references to gigawatts (GW) and related measurements of energy capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phrine
    -0.86
    handle
    -0.77
    netflix
    -0.67
    afort
    -0.67
    case
    -0.65
    cook
    -0.64
    raised
    -0.64
    staking
    -0.62
    self
    -0.61
    cision
    -0.61
    POSITIVE LOGITS
    GW
    1.27
    TW
    1.05
    ILD
    1.04
    uild
    0.97
     GW
    0.96
    MW
    0.91
    EEK
    0.88
    Ts
    0.84
    SW
    0.81
    velength
    0.81
    Activations Density 0.005%

    No Known Activations