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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. 2-RES-JB
    11. 13605
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    Explanations

    words related to achievements or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to success in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Natural
    -0.63
    electric
    -0.62
    Earth
    -0.61
    cise
    -0.61
     Sections
    -0.61
     throats
    -0.59
     trucks
    -0.58
     pores
    -0.58
     antiqu
    -0.57
    aws
    -0.57
    POSITIVE LOGITS
     success
    0.90
     promotion
    0.76
    success
    0.75
    reprene
    0.72
     promot
    0.72
    insula
    0.72
    iola
    0.71
    icol
    0.71
    successful
    0.71
     succeed
    0.70
    Activations Density 0.015%

    No Known Activations