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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. 17726
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    Explanations

    people's names or partial names

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with specific people or entities

    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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    Negative Logits
    ©¶æ
    -0.77
    uminati
    -0.72
    clave
    -0.68
    taboola
    -0.68
    SpaceEngineers
    -0.65
    ICLE
    -0.63
    :{
    -0.62
    $$$$
    -0.60
     cig
    -0.60
     carrot
    -0.59
    POSITIVE LOGITS
    uddin
    0.78
    ashtra
    0.76
    ioned
    0.75
    aus
    0.70
    vich
    0.69
    bia
    0.68
    culosis
    0.67
    andise
    0.67
    hof
    0.67
    akov
    0.66
    Activations Density 0.323%

    No Known Activations