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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. 1-RES-JB
    11. 1942
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    Explanations

    terms related to personal drive or incentive

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of motivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.83
    semble
    -0.70
    opic
    -0.70
    avis
    -0.67
     Dak
    -0.66
     Leopard
    -0.66
    xon
    -0.66
     Kingdoms
    -0.65
     Lup
    -0.65
    iannopoulos
    -0.65
    POSITIVE LOGITS
     motivation
    1.20
     motiv
    0.96
     motivations
    0.95
    ivation
    0.93
     motivate
    0.93
     motivating
    0.92
     incent
    0.91
     impetus
    0.90
     motivated
    0.88
     guiActiveUn
    0.86
    Activations Density 0.010%

    No Known Activations