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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. 0-RES-JB
    11. 12875
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    Explanations

    words related to futuristic technology components

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Hyper" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avid
    -0.75
     strugg
    -0.74
    Angelo
    -0.69
     scraping
    -0.68
    rie
    -0.65
    angelo
    -0.65
     burgl
    -0.64
    nam
    -0.64
     scrape
    -0.64
     mant
    -0.64
    POSITIVE LOGITS
     Hyper
    3.71
    Hyper
    3.00
    hyper
    2.06
     Hyp
    1.59
     hyper
    1.44
     HY
    1.36
    Hyp
    1.23
     Hydro
    1.22
     Ether
    1.16
     Neural
    1.14
    Activations Density 0.014%

    No Known Activations