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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. 8-RES-JB
    11. 10867
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    Explanations

    instructions or descriptions related to cooking or baking

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related time measurements and instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pigment
    -0.60
    ãĤ´
    -0.56
    dylib
    -0.54
     acronym
    -0.53
    Ħ¢
    -0.53
    oyal
    -0.51
    Attribute
    -0.51
     attribut
    -0.51
    Ö¼
    -0.50
     firsthand
    -0.50
    POSITIVE LOGITS
     Doors
    0.62
    opolis
    0.62
     Destination
    0.61
     Rooms
    0.57
     Meeting
    0.56
    nesday
    0.56
    autions
    0.55
    ursday
    0.54
    UME
    0.54
    cember
    0.54
    Activations Density 1.414%

    No Known Activations