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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. 4947
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    phrases related to coverage or reporting on various topics

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the act of covering topics or subjects

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     Sabha
    -0.82
    rw
    -0.68
    lua
    -0.64
    rous
    -0.60
    cca
    -0.60
     fortune
    -0.59
    rouse
    -0.57
    Jar
    -0.56
     Username
    -0.56
    bour
    -0.56
    POSITIVE LOGITS
    iday
    0.89
    ages
    0.83
    ummer
    0.76
    utical
    0.70
    azine
    0.70
     corners
    0.68
    undown
    0.65
     breadth
    0.65
    general
    0.64
    ãĤ¨ãĥ«
    0.64
    Activations Density 0.031%

    No Known Activations