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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. 10-RES-JB
    6. 15158
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    INDEX
    Explanations

    numerical values annotated with special symbols, and programming syntax

    oai_token-act-pair · gpt-3.5-turbo

    terms related to voting and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UL
    -0.92
     Alc
    -0.83
    AG
    -0.83
     Albania
    -0.82
    ulas
    -0.81
     Alonso
    -0.81
    º
    -0.80
     Belg
    -0.79
    Alabama
    -0.78
     Xavier
    -0.77
    POSITIVE LOGITS
    read
    1.00
    reader
    0.93
     skim
    0.93
    play
    0.87
     reader
    0.86
     PLAY
    0.86
     Myers
    0.84
     Reader
    0.84
     lear
    0.82
     TL
    0.79
    Activations Density 0.457%

    No Known Activations