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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. 2-RES-JB
    11. 23422
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    Explanations

    phrases related to physical locations and activities

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to careful actions and thoughtful decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    chuk
    -0.57
    ageddon
    -0.48
     derby
    -0.47
    udic
    -0.46
    ividual
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     Pixie
    -0.46
    Loading
    -0.44
     Throne
    -0.43
    farious
    -0.43
    abus
    -0.42
    POSITIVE LOGITS
    etheless
    0.80
     largeDownload
    0.55
     WARN
    0.51
    pmwiki
    0.48
     apologies
    0.47
    NetMessage
    0.46
    arently
    0.45
    nown
    0.45
     hereby
    0.45
    posing
    0.45
    Activations Density 5.364%

    No Known Activations