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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. 21556
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    Explanations

    phrases related to academic semesters or events

    oai_token-act-pair · gpt-3.5-turbo

    references to seminars and related educational events

    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
     Strauss
    -0.73
    çĶŁ
    -0.70
    Thumbnail
    -0.65
     mole
    -0.64
    Adds
    -0.62
     bowling
    -0.61
    ãĤ¤ãĥĪ
    -0.60
    ãģ¦
    -0.59
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.59
     Alonso
    -0.58
    POSITIVE LOGITS
    antics
    1.33
    blance
    1.22
    inary
    1.13
    antic
    1.13
    inar
    1.12
    antically
    1.09
    iotics
    1.06
    onym
    1.04
    onyms
    1.03
    icol
    1.02
    Activations Density 0.017%

    No Known Activations