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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. 7-RES-JB
    6. 875
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    INDEX
    Explanations

    phrases related to fan reactions and interactions

    oai_token-act-pair · gpt-3.5-turbo

    mentions or references to fans and their engagement or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.69
     Morning
    -0.62
     sunrise
    -0.62
    abus
    -0.62
    abad
    -0.60
     Labrador
    -0.60
     Territ
    -0.60
     spac
    -0.59
     Nep
    -0.59
     Khe
    -0.59
    POSITIVE LOGITS
    erv
    1.12
    hip
    1.10
    atics
    1.06
    haw
    1.04
    ubs
    1.03
    atical
    1.03
    hips
    0.98
    boys
    0.94
    peak
    0.92
    atically
    0.91
    Activations Density 0.041%

    No Known Activations