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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. 9-RES-JB
    6. 694
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    INDEX
    Explanations

    mentions of astronomical terms and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to astronomical entities and prosthetic technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.75
    less
    -0.67
     Dug
    -0.67
    enance
    -0.65
    imately
    -0.64
    ifications
    -0.63
    down
    -0.60
    shi
    -0.59
     Forensic
    -0.59
     Bundy
    -0.58
    POSITIVE LOGITS
    etic
    1.11
    etry
    1.05
    olate
    1.04
    emies
    1.02
    etics
    1.00
    cium
    0.99
    eteen
    0.95
    cious
    0.94
    omical
    0.93
    pta
    0.92
    Activations Density 0.130%

    No Known Activations