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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. 3-RES-JB
    6. 1430
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to value and valuables

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pread
    -0.78
     EntityItem
    -0.70
    olitan
    -0.70
    soever
    -0.70
     Bread
    -0.67
    RAFT
    -0.66
     Rapp
    -0.65
    sein
    -0.65
    éĹĺ
    -0.63
    landish
    -0.63
    POSITIVE LOGITS
    uations
    1.11
    ibr
    1.04
    ueless
    1.03
    entin
    0.97
     val
    0.95
    uing
    0.91
    anches
    0.89
    ipers
    0.89
    enture
    0.89
    ancy
    0.87
    Activations Density 0.005%

    No Known Activations