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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. 7532
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    Explanations

    keywords related to a person named "Mos" and contexts related to different activities involving this person, such as historical readings and news inquiries

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Mos" or related phrases

    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
    istics
    -0.75
    DragonMagazine
    -0.74
    istically
    -0.72
     Immunity
    -0.70
     Duchess
    -0.69
    istical
    -0.68
    istic
    -0.67
    sburgh
    -0.65
     Thumbnails
    -0.65
    ACTED
    -0.65
    POSITIVE LOGITS
    quit
    1.08
    ques
    1.05
    sey
    1.01
    quet
    0.99
    cos
    0.93
    gon
    0.92
    bian
    0.90
    aic
    0.90
    qu
    0.90
    chal
    0.90
    Activations Density 0.021%

    No Known Activations