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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. 23346
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    Explanations

    words related to strong emotions or intensity, such as "rage" or "rousing."

    oai_token-act-pair · gpt-3.5-turbo

    words related to outrage and its variations

    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
     nep
    -0.72
     disapp
    -0.69
    afer
    -0.62
     stocking
    -0.61
     inclusion
    -0.60
     metic
    -0.60
     paran
    -0.60
     nodd
    -0.60
     vanishing
    -0.57
     GOODMAN
    -0.56
    POSITIVE LOGITS
    xual
    1.16
    rage
    0.83
    llor
    0.83
    ethy
    0.81
    thal
    0.80
    pta
    0.78
    ythm
    0.78
    uberty
    0.77
    ndum
    0.75
    stals
    0.75
    Activations Density 0.022%

    No Known Activations