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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15585
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    INDEX
    Explanations

    phrases related to physical actions and locations

    oai_token-act-pair · gpt-3.5-turbo

    elements related to social and relational dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vaugh
    -0.52
    enegger
    -0.44
     Lange
    -0.40
    eday
    -0.39
     Noon
    -0.39
     referen
    -0.39
    uilt
    -0.37
     Mub
    -0.36
     Moroc
    -0.36
    inen
    -0.36
    POSITIVE LOGITS
    taboola
    0.44
    sych
    0.41
    fecture
    0.39
    bos
    0.39
    Mos
    0.38
    geries
    0.37
    cession
    0.36
    ciples
    0.36
    asses
    0.35
    /
    0.34
    Activations Density 6.098%

    No Known Activations