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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. 11-RES-JB
    11. 14742
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    Explanations

    mentions of hands-on activities or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to hands-on experiences or practical activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Yugoslav
    -0.67
    rama
    -0.67
     Yugoslavia
    -0.61
    minist
    -0.60
    VO
    -0.60
    ERN
    -0.59
     2022
    -0.58
    alias
    -0.58
    places
    -0.58
    AMI
    -0.57
    POSITIVE LOGITS
    ome
    1.31
    pring
    1.22
    omes
    1.15
    omen
    1.04
    ets
    1.04
    chool
    1.00
    ake
    0.92
    peed
    0.89
    BuyableInstoreAndOnline
    0.89
    inki
    0.88
    Activations Density 0.060%

    No Known Activations