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

    references to power generation capacity in terms of megawatts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to energy generation and capacity, specifically in megawatts and gigawatts

    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
    ationally
    -0.87
    onduct
    -0.75
    ocard
    -0.68
    ALSE
    -0.67
    ably
    -0.66
    ttle
    -0.66
    uay
    -0.65
    ayn
    -0.65
    aire
    -0.63
    ĵ
    -0.63
    POSITIVE LOGITS
    wered
    0.82
     Ducks
    0.80
    issance
    0.67
    manship
    0.67
    interstitial
    0.65
    tenance
    0.62
    rd
    0.62
    uke
    0.61
    mast
    0.61
    agascar
    0.61
    Activations Density 0.025%

    No Known Activations