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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 20543
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    Explanations

    references to Wi-Fi technology

    oai_token-act-pair · gpt-3.5-turbo

    references to Wi-Fi connectivity

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    */(
    -0.89
    orian
    -0.79
    orians
    -0.78
    oral
    -0.78
    ional
    -0.78
    uate
    -0.75
    ions
    -0.71
    ioned
    -0.70
    IONS
    -0.67
    rations
    -0.66
    POSITIVE LOGITS
    Wi
    1.22
     Wi
    1.17
    wi
    0.85
    Pi
    0.84
    Fi
    0.80
    Yo
    0.79
     WiFi
    0.77
    wan
    0.76
    FFER
    0.72
    etooth
    0.71
    Activations Density 0.004%

    No Known Activations