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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. 2-RES-JB
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    Explanations

    words related to generators and power sources

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of generators and energy production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clair
    -0.79
    nee
    -0.76
    Sea
    -0.71
    laus
    -0.69
    sb
    -0.69
    ealous
    -0.68
    ean
    -0.67
    atha
    -0.66
    odore
    -0.66
    kay
    -0.65
    POSITIVE LOGITS
     generators
    1.09
     generator
    1.05
     Generator
    0.86
    vernment
    0.76
     generating
    0.72
    hoe
    0.71
     fodder
    0.70
    lein
    0.70
     recharge
    0.69
    andom
    0.68
    Activations Density 0.008%

    No Known Activations