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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18029
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    Explanations

    terms related to various types of items or possessions

    oai_token-act-pair · gpt-3.5-turbo

    references to miscellaneous categories or items that do not fall under specific classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tanaka
    -0.73
    ruary
    -0.72
    pload
    -0.70
     Lithuania
    -0.67
     Boris
    -0.66
     Manson
    -0.65
     Cycling
    -0.65
     Zuckerberg
    -0.64
     Bundy
    -0.64
     Teresa
    -0.64
    POSITIVE LOGITS
    worldly
    1.52
     assorted
    1.18
     forms
    1.10
     aspects
    1.06
     factors
    1.04
     considerations
    1.03
     kinds
    0.99
     goodies
    0.99
     types
    0.98
     pertinent
    0.90
    Activations Density 0.088%

    No Known Activations