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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. 5-RES-JB
    6. 13666
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    INDEX
    Explanations

    mentions related to different brands and products named "Maker"

    oai_token-act-pair · gpt-3.5-turbo

    references to "maker" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ses
    -0.66
     Territ
    -0.64
    inators
    -0.63
     Dalai
    -0.63
    ?????-
    -0.61
    ANA
    -0.60
     Shal
    -0.59
    JOHN
    -0.59
     Locked
    -0.58
     striped
    -0.58
    POSITIVE LOGITS
    pace
    1.11
    paces
    1.00
    cham
    0.89
    Maker
    0.79
    sonian
    0.75
     extraord
    0.74
    atis
    0.73
    jing
    0.73
    ht
    0.72
    mind
    0.72
    Activations Density 0.024%

    No Known Activations