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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. 16425
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    Explanations

    references to a specific sports team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Calgary Flames and related entities

    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
    strate
    -0.78
    kaya
    -0.77
     Saiyan
    -0.73
    anto
    -0.69
    alian
    -0.68
    illus
    -0.67
    stakes
    -0.65
    æĪ¦
    -0.65
     Barkley
    -0.65
    colo
    -0.65
    POSITIVE LOGITS
     Oilers
    1.14
     Flames
    1.10
     Edmonton
    0.86
    atoon
    0.84
    monton
    0.84
     Calgary
    0.82
     Alberta
    0.80
     Lions
    0.78
     Province
    0.78
     province
    0.77
    Activations Density 0.051%

    No Known Activations