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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. 4-RES-JB
    11. 9183
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    Explanations

    proper names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals, particularly those associated with sports and film

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

    No Comments

    Negative Logits
    uers
    -0.88
    ebook
    -0.83
    iste
    -0.80
    pt
    -0.77
    otions
    -0.73
    runners
    -0.71
    reme
    -0.70
    framework
    -0.70
    izoph
    -0.70
    plane
    -0.70
    POSITIVE LOGITS
     Norris
    1.10
    BuyableInstoreAndOnline
    0.79
     Stanley
    0.78
     Brothers
    0.77
    Downloadha
    0.75
     Gord
    0.73
     Michaels
    0.71
     Jarvis
    0.70
    nit
    0.70
    nton
    0.70
    Activations Density 0.015%

    No Known Activations