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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. 4-RES-JB
    11. 6760
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    Explanations

    phrases related to opinions or impressions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intent or planned actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rouse
    -0.68
     Paddock
    -0.66
    phabet
    -0.62
     Corinth
    -0.60
    Military
    -0.60
    webkit
    -0.58
    Weather
    -0.57
     Commodore
    -0.57
     colonel
    -0.57
    Decl
    -0.56
    POSITIVE LOGITS
    naissance
    0.70
    ãģ®ç
    0.69
    itely
    0.69
    */(
    0.67
    ãģ®æ
    0.67
    ãĤĮ
    0.67
    ĵĺ
    0.66
    idered
    0.65
    ãĤ¦ãĤ¹
    0.64
    iciary
    0.64
    Activations Density 0.185%

    No Known Activations