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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 20939
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    Explanations

    keywords related to security measures or protocols

    oai_token-act-pair · gpt-3.5-turbo

    terms related to time durations and measurements

    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
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    No Comments

    Negative Logits
    ãĤ¤ãĥĪ
    -0.81
    çļ
    -0.77
    ãĥ¼ãĤ¯
    -0.77
    ãĤ¤
    -0.77
    ForgeModLoader
    -0.71
    ÙIJ
    -0.69
    jad
    -0.66
    ãĥ³ãĤ¸
    -0.66
    ãĥij
    -0.64
    å§
    -0.64
    POSITIVE LOGITS
    enaries
    1.07
     sec
    0.99
    icka
    0.95
    roach
    0.90
    vern
    0.89
    uden
    0.86
    esters
    0.84
    udo
    0.83
    ures
    0.83
    utes
    0.77
    Activations Density 0.003%

    No Known Activations