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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. 21896
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    Explanations

    phrases related to debates or arguments

    oai_token-act-pair · gpt-3.5-turbo

    words related to food preparation

    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
    eme
    -0.72
    ructose
    -0.72
    ĭ
    -0.72
    enda
    -0.71
    vag
    -0.70
    hoe
    -0.70
    eping
    -0.70
     classmate
    -0.70
    ause
    -0.69
    asley
    -0.68
    POSITIVE LOGITS
     Somewhere
    0.78
    ATES
    0.71
     Towers
    0.71
     Beware
    0.69
     Ultimately
    0.69
     Tiny
    0.68
     knots
    0.67
     Tours
    0.67
     Boards
    0.67
     Essentially
    0.66
    Activations Density 0.000%

    No Known Activations