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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. 2555
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    INDEX
    Explanations

    phrases indicating learning or gaining knowledge from experience

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to learning from experiences or mistakes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.66
    istent
    -0.62
    igham
    -0.60
    avia
    -0.60
    uxe
    -0.60
    endez
    -0.60
    akable
    -0.59
    gui
    -0.59
    achable
    -0.59
     ports
    -0.58
    POSITIVE LOGITS
     lesson
    0.92
     firsthand
    0.81
    Pract
    0.76
     lessons
    0.75
    ãĢİ
    0.75
     skills
    0.75
     Teach
    0.72
     Skills
    0.71
    ById
    0.71
    >(
    0.69
    Activations Density 0.159%

    No Known Activations