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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. 1717
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    Explanations

    phrases related to taking action or making advancements towards a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references related to bringing something to a specific context or situation

    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
    baugh
    -0.67
    tions
    -0.66
    avior
    -0.66
    rent
    -0.59
    leck
    -0.58
    aroo
    -0.58
     payable
    -0.57
     autop
    -0.57
    Got
    -0.57
    answered
    -0.56
    POSITIVE LOGITS
    rawdownloadcloneembedreportprint
    0.88
    pload
    0.84
    erville
    0.69
     grips
    0.69
     fruition
    0.67
    uta
    0.66
    isine
    0.64
    大
    0.63
    icial
    0.62
    heed
    0.60
    Activations Density 0.128%

    No Known Activations