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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. 5-RES-JB
    6. 8277
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    Explanations

    phrases referring to something being popular or controversial

    oai_token-act-pair · gpt-3.5-turbo

    the term "hot" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.95
    uther
    -0.79
    ajor
    -0.76
     confir
    -0.75
    ĸļ
    -0.73
    eca
    -0.73
    atively
    -0.73
    ARDIS
    -0.71
    yss
    -0.70
    INAL
    -0.69
    POSITIVE LOGITS
     spots
    0.92
    ness
    0.89
    ened
    0.87
     Chili
    0.87
     hot
    0.87
    headed
    0.86
    Spot
    0.85
     stove
    0.84
     hotter
    0.84
    shots
    0.83
    Activations Density 0.020%

    No Known Activations