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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. 12-RES-JB
    11. 2917
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    INDEX
    Explanations

    words related to physical descriptions or locations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to food and beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    razil
    -0.79
    outhern
    -0.75
    elist
    -0.74
    ructure
    -0.72
    region
    -0.68
    shown
    -0.67
    currently
    -0.67
    MIT
    -0.67
    example
    -0.67
    Firstly
    -0.66
    POSITIVE LOGITS
     dolls
    1.24
     sneakers
    1.23
     commercials
    1.18
     sandwiches
    1.12
     billboards
    1.07
     hairc
    1.07
     torches
    1.06
     cocktails
    1.06
     hats
    1.06
     sunglasses
    1.05
    Activations Density 0.448%

    No Known Activations