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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. 21289
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    Explanations

    professor names and associated institutions

    oai_token-act-pair · gpt-3.5-turbo

    positions or titles of professors associated with academic institutions

    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
    VALUE
    -0.82
    worthiness
    -0.78
    cro
    -0.75
    Pac
    -0.69
    VIDEO
    -0.68
    ptions
    -0.68
    ptives
    -0.66
    Russ
    -0.66
    comfort
    -0.66
    film
    -0.64
    POSITIVE LOGITS
     least
    0.97
    onement
    0.88
    rial
    0.84
    abase
    0.81
     MIT
    0.75
     DH
    0.74
     universities
    0.71
     Leaves
    0.71
    mega
    0.70
     sea
    0.69
    Activations Density 0.101%

    No Known Activations