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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. 10-RES-JB
    11. 12248
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    Explanations

    phrases related to the importance or necessity of certain actions or components

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance of specific actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.00
    umbered
    -0.75
    quished
    -0.72
     Cosponsors
    -0.71
    rop
    -0.70
    oub
    -0.69
    ynes
    -0.69
    pointers
    -0.67
    imilar
    -0.67
    flash
    -0.66
    POSITIVE LOGITS
     achieving
    1.46
     ensuring
    1.46
     maintaining
    1.45
     unlocking
    1.44
     determining
    1.44
     preserving
    1.39
     understanding
    1.33
     preventing
    1.32
     sustaining
    1.25
     solving
    1.25
    Activations Density 0.198%

    No Known Activations