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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. 6-RES-JB
    6. 10174
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    Explanations

    words related to publications, such as "book", "article", and "chapter"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "rd" which likely denotes a type of rating or designation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Speedway
    -0.76
     Kimmel
    -0.75
    staking
    -0.74
     Katrina
    -0.67
    terson
    -0.64
    ropolis
    -0.61
     Petraeus
    -0.60
     Haram
    -0.57
     Chow
    -0.57
     relegated
    -0.56
    POSITIVE LOGITS
    ouble
    1.10
    oÄŁan
    0.98
    yss
    0.90
    isl
    0.88
    irty
    0.88
    party
    0.86
    ividual
    0.85
    uces
    0.84
    iate
    0.83
    iamond
    0.83
    Activations Density 0.012%

    No Known Activations