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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. 10-RES-JB
    11. 8169
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    Explanations

    names of sports players or athletes

    oai_token-act-pair · gpt-3.5-turbo

    names of athletes and references to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.87
    soType
    -0.86
    actionDate
    -0.83
    netflix
    -0.79
    channelAvailability
    -0.78
    catentry
    -0.71
     Kardash
    -0.70
     Membership
    -0.68
     VICE
    -0.68
     recommending
    -0.67
    POSITIVE LOGITS
     scored
    1.48
     regained
    1.33
     threw
    1.32
     rallied
    1.29
     bounced
    1.28
     struggled
    1.24
     battled
    1.23
     overcame
    1.21
     rushed
    1.17
     stormed
    1.16
    Activations Density 0.209%

    No Known Activations