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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. 11-RES-JB
    6. 7263
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    INDEX
    Explanations

    steps or instructions in a process

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements and instructions in a detailed process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gund
    -0.77
    ORPG
    -0.74
    CVE
    -0.72
    asma
    -0.67
    ulence
    -0.65
     Moj
    -0.64
    UCT
    -0.64
    authent
    -0.64
     Highly
    -0.63
    izable
    -0.62
    POSITIVE LOGITS
     sts
    1.01
     alternating
    0.97
     dc
    0.96
    Row
    0.94
    dc
    0.93
     Repeat
    0.91
     spaced
    0.86
     repeat
    0.85
     row
    0.85
     needle
    0.84
    Activations Density 0.124%

    No Known Activations