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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. 7-RES-JB
    11. 14101
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    Explanations

    phrases related to gaining an advantageous position or benefit

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competitive advantages and disadvantages

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Interstitial
    -0.79
    ãĥ¡
    -0.76
    ãĤ¡
    -0.74
    ãĥŁ
    -0.73
    mberg
    -0.68
     rash
    -0.66
     Adin
    -0.65
    tra
    -0.64
    abad
    -0.64
    ãĤ³
    -0.64
    POSITIVE LOGITS
    ously
    1.17
    vantage
    0.97
     Advantage
    0.90
    ous
    0.87
    ilege
    0.86
     advantage
    0.86
    itism
    0.86
    ommel
    0.81
     afforded
    0.79
     advantages
    0.79
    Activations Density 0.026%

    No Known Activations