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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. 12475
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    Explanations

    phrases related to specific people or personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    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
     thereby
    -0.83
     according
    -0.81
    âĢł
    -0.78
     alongside
    -0.68
     jointly
    -0.67
     based
    -0.66
     overseen
    -0.66
    Malley
    -0.66
     authored
    -0.64
    buster
    -0.64
    POSITIVE LOGITS
     slightest
    1.26
     whole
    1.12
     smallest
    1.11
     hardest
    1.09
     simplest
    1.09
     easiest
    1.06
     biggest
    1.04
     brightest
    1.02
     coolest
    1.00
     longest
    0.99
    Activations Density 1.079%

    No Known Activations