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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. 14095
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    Explanations

    measurements of distance

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of distance

    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
    icio
    -0.72
    Thumbnail
    -0.70
    sole
    -0.67
    sum
    -0.67
    ebus
    -0.67
    kefeller
    -0.66
    ggle
    -0.65
    erd
    -0.64
    due
    -0.64
    bid
    -0.63
    POSITIVE LOGITS
     metres
    1.12
    imet
    0.86
     litres
    0.86
     meters
    0.83
     kilometres
    0.83
     metre
    0.83
     emitting
    0.74
     hectares
    0.74
     tonnes
    0.73
    terness
    0.72
    Activations Density 0.005%

    No Known Activations