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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. 2-RES-JB
    6. 4654
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    Explanations

    programming syntax and code-related activations

    oai_token-act-pair · gpt-3.5-turbo

    procedural or functional components of programming code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.80
    itness
    -0.75
     nodd
    -0.73
    nuts
    -0.71
    nut
    -0.68
    elf
    -0.67
    ened
    -0.67
    enthal
    -0.67
     takedown
    -0.66
    edded
    -0.65
    POSITIVE LOGITS
    --+
    0.86
    âĶĢâĶĢ
    0.85
    00200000
    0.80
    OOL
    0.78
    advertising
    0.74
    ivas
    0.74
    PsyNetMessage
    0.74
    Constructed
    0.71
    ãħĭ
    0.70
    âĶĢâĶĢâĶĢâĶĢ
    0.70
    Activations Density 0.003%

    No Known Activations