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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. 9-RES-JB
    6. 10803
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    Explanations

    names or words related to people involved in a company or organization

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically those related to names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongyang
    -0.69
     dispel
    -0.68
    cffffcc
    -0.68
    inal
    -0.67
    bably
    -0.61
    inally
    -0.61
     surv
    -0.61
     municip
    -0.59
    ramid
    -0.59
    enance
    -0.59
    POSITIVE LOGITS
    vironment
    1.33
    bach
    1.30
    heimer
    1.26
    berger
    1.26
    holm
    1.23
    feld
    1.22
    wald
    1.22
    baum
    1.21
    hower
    1.20
    esis
    1.19
    Activations Density 0.098%

    No Known Activations