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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. 9-RES-JB
    11. 2401
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    Explanations

    expressions referring to technological terms and specific brand names

    oai_token-act-pair · gpt-3.5-turbo

    specific brand names and technical components, particularly related to technology and sanctuary concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Nadu
    -0.80
    azeera
    -0.68
    ftime
    -0.67
    umar
    -0.60
     Kaz
    -0.59
     Airl
    -0.59
     Nanto
    -0.58
    pora
    -0.57
     lantern
    -0.57
     oxide
    -0.56
    POSITIVE LOGITS
    ortion
    0.90
    liness
    0.87
    ledged
    0.85
    ãĤ©
    0.85
    ĵĺ
    0.83
    ility
    0.83
    BLIC
    0.82
    liest
    0.80
    icles
    0.80
    icle
    0.80
    Activations Density 0.147%

    No Known Activations