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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. 0-RES-JB
    11. 10222
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    Explanations

    words related to goals or objectives

    oai_token-act-pair · gpt-3.5-turbo

    mentions of goals and objectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     washed
    -0.72
    orn
    -0.69
     Volt
    -0.66
     gent
    -0.65
    ï¸ı
    -0.65
     rapper
    -0.65
    unic
    -0.64
     Weird
    -0.63
    amer
    -0.63
    pora
    -0.62
    POSITIVE LOGITS
     objectives
    3.31
     agendas
    1.31
     missions
    1.28
     engagements
    1.27
     objective
    1.19
     responsibilities
    1.18
     Objective
    1.12
     priorities
    1.12
     targets
    1.11
     achievements
    1.10
    Activations Density 0.019%

    No Known Activations