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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. 8-RES-JB
    6. 17320
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    Explanations

    references to specific car brands and models, particularly BMW

    oai_token-act-pair · gpt-3.5-turbo

    mentions of brands and organizations, particularly BMW and Kaiser

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bles
    -0.83
    cloth
    -0.77
    PLE
    -0.76
    cott
    -0.74
    Sax
    -0.74
    admin
    -0.72
    perse
    -0.71
    CHR
    -0.71
    ppe
    -0.70
    BILITIES
    -0.68
    POSITIVE LOGITS
    ist
    1.19
    ists
    1.17
    ization
    1.08
    izations
    1.01
    icals
    0.98
    ized
    0.97
    ism
    0.97
    iser
    0.94
    icum
    0.94
    ical
    0.92
    Activations Density 0.089%

    No Known Activations