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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. 17507
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    Explanations

    keywords related to marking or labeling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to markers and plaques used 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
    ategory
    -0.94
    orld
    -0.89
    ONSORED
    -0.86
    quished
    -0.82
    é¾
    -0.80
    iannopoulos
    -0.80
    ILLE
    -0.78
    acia
    -0.77
     Kut
    -0.76
    apest
    -0.75
    POSITIVE LOGITS
     marker
    1.23
     markers
    1.19
    posts
    0.93
     plaque
    0.78
     marking
    0.73
     Carney
    0.72
     Twain
    0.70
     pens
    0.68
    holder
    0.68
     blank
    0.67
    Activations Density 0.016%

    No Known Activations