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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21848
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    Explanations

    the word "buff" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "buff" in various contexts

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

    No Comments

    Negative Logits
    ________________________
    -0.75
     Labyrinth
    -0.65
     Stras
    -0.65
    PF
    -0.63
     ELE
    -0.63
     VIDEOS
    -0.61
    FTWARE
    -0.61
    QUIRE
    -0.60
     Reign
    -0.59
     Dresden
    -0.58
    POSITIVE LOGITS
    alon
    1.10
    alos
    1.10
    ered
    1.07
    alo
    0.99
    ington
    0.96
    ering
    0.96
    aign
    0.93
    oon
    0.93
    ett
    0.92
    aroo
    0.88
    Activations Density 0.006%

    No Known Activations