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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. 5474
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    Explanations

    references to specific locations or entities with the term 'Scots'

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Scots"

    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
     slic
    -0.70
     mileage
    -0.68
    Reviewer
    -0.67
     laundry
    -0.66
    Downloadha
    -0.65
     stitches
    -0.62
     JPM
    -0.62
     purse
    -0.60
     Galile
    -0.59
    ativity
    -0.59
    POSITIVE LOGITS
    hirt
    1.30
    hower
    1.15
    weet
    1.10
    leeve
    1.08
    cape
    1.06
    onic
    1.02
    omething
    1.00
    arnaev
    1.00
    cha
    0.96
    rue
    0.94
    Activations Density 0.080%

    No Known Activations